text:
722},
  issn = {0956-7976},
  doi = {10.1177/0956797617693004},
  abstract = {A major shortcoming of current models of ideological prejudice is that although they can anticipate the direction of the association between participants' ideology and their prejudice against a range of target groups, they cannot predict the size of this association. I developed and tested models that can make specific size predictions for this association. A quantitative model that used the perceived ideology of the target group as the primary predictor of the ideology-prejudice relationship was developed with a representative sample of Americans (N = 4,940) and tested against models using the perceived status of and choice to belong to the target group as predictors. In four studies (total N = 2,093), ideology-prejudice associations were estimated, and these observed estimates were compared with the models' predictions. The model that was based only on perceived ideology was the most parsimonious with the smallest errors.},
  journal = {Psychological Science},
  language = {en},
  number = {6}
}

@techreport{brandtThreatPoliticsCountries2019,
  title = {Threat and Politics across Countries},
  author = {Brandt, Mark John and {Turner-Zwinkels}, Felicity Mary and Karapirinler, Beste and {van Leeuwen}, Florian and Bender, Michael and {van Osch}, Yvette and Adams, Byron Gregory},
  year = {2019},
  month = sep,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/e9uk7},
  abstract = {Theories link threat with right-wing political beliefs. We use the World Values Survey (72,836 participants) to test how different types of threat (economic, violence, and surveillance) are associated with different types of political beliefs (social, economic, and political identification) across 42 different countries. The association between threat and political beliefs depends on the type of threat, the type of political beliefs, and the country. Economic threats tended to be associated with more left-wing economic beliefs, violence threats tended to be associated with more general right-wing beliefs, and surveillance threats tended to be associated with more right-wing economic beliefs and more left-wing social beliefs. Additional analyses explored how 24 country characteristics might help explain variation in the threat-political beliefs association; however, these analyses identified few cross-country characteristics that consistently helped. Our findings show that political beliefs and perceptions of threat are linked, but that the relationship is nuanced.},
  type = {Preprint}
}

@article{brandtWhatCentralPolitical2018,
  title = {What Is {{Central}} to {{Political Belief System Networks}}?},
  author = {Brandt, Mark and Sibley, Chris G. and Osborne, Danny},
  year = {2018},
  month = jan,
  doi = {10.31234/osf.io/tyr64},
  abstract = {A central challenge for identifying core components of a belief system is examining the position of components within the structure of the entire belief system. Here, we test whether operational (i.e. positions on specific issues) or symbolic (i.e. affective attachments to political groups and labels) components are most central by modeling a political belief system as a network of interconnected attitudes and beliefs. Across seven annual waves of representative panel data from New Zealand, we find that symbolic components are more central in the system than operational components (d's range 0.78 \textendash{} 0.97). Symbolic components were also closer than operational components in the network to self-reported voting (d = -2.28) and environmental behaviors (d's = -1.62 and -1.54). These findings are consistent with perspectives that emphasize the importance of symbolic politics in tying belief systems together and motivating behavior, and further the link between political belief system research and network science.},
  file = {/home/aleksandar/Zotero/storage/GWZPQGBG/tyr64.html}
}

@article{brandtWhatCentralPolitical2019,
  ids = {brandtWhatCentralPolitical2019a},
  title = {What {{Is Central}} to {{Political Belief System Networks}}?},
  author = {Brandt, Mark J. and Sibley, Chris G. and Osborne, Danny},
  year = {2019},
  month = jan,
  pages = {014616721882435},
  issn = {0146-1672, 1552-7433},
  doi = {10.1177/0146167218824354},
  file = {/home/aleksandar/Documents/Zotero/Brandt et al/Brandt et al_2019_What Is Central to Political Belief System Networks.pdf},
  journal = {Personality and Social Psychology Bulletin},
  language = {en}
}

@article{brandtWorldviewConflictDaily2019,
  title = {Worldview {{Conflict}} in {{Daily Life}}},
  author = {Brandt, Mark J. and Crawford, Jarret T. and Van Tongeren, Daryl R.},
  year = {2019},
  month = jan,
  volume = {10},
  pages = {35--43},
  issn = {1948-5506},
  doi = {10.1177/1948550617733517},
  abstract = {Building on laboratory- and survey-based research probing the psychology of ideology and the experience of worldview conflict, we examined the association between worldview conflict and emotional reactions, psychological well-being, humanity esteem, and political ideology in everyday life using experience sampling. In three combined samples (total N = 328), experiencing disagreement compared to agreement was associated with experiencing more other-condemning emotions, less well-being, and less humanity esteem. There were no clear associations between experiencing disagreement and experiencing self-conscious emotions, positive emotions, and mental stress. None of the relationships were moderated by political ideology. These results both replicate and challenge findings from laboratory- and survey-based research, and we discuss possible reasons for the discrepancies. Experience sampling methods can help researchers get a glimpse into everyday worldview conflict.},
  journal = {Social Psychological and Personality Science},
  language = {en},
  number = {1}
}

@book{bremaudMarkovChainsGibbs1999,
  title = {Markov Chains: {{Gibbs}} Fields, {{Monte Carlo}} Simulation, and Queues},
  shorttitle = {Markov Chains},
  author = {Br{\'e}maud, Pierre},
  year = {1999},
  publisher = {{Springer}},
  address = {{New York}},
  isbn = {978-0-387-98509-1},
  lccn = {QA274.7 .B74 1999},
  number = {31},
  series = {Texts in Applied Mathematics}
}

@article{briceno-rosasImprovingCentralMonitoring2020,
  title = {Improving {{Central Monitoring}} of {{Fieldwork}} in {{Cross}}-National {{Surveys}}: {{The Case}} of the {{Fieldwork Management System}} in the {{European Social Survey}}},
  shorttitle = {Improving {{Central Monitoring}} of {{Fieldwork}} in {{Cross}}-National {{Surveys}}},
  author = {{Briceno-Rosas}, Roberto and Butt, Sarah and Kappelhof, Joost},
  year = {2020},
  month = may,
  issn = {2296-4754},
  doi = {10.13094/SMIF-2020-00004},
  abstract = {Cross-national surveys face the particular challenge of trying to balance optimal survey quality within a country with comparability across countries in terms of data quality. Addressing this challenge during fieldwork requires effective management of fieldwork data, a task made more difficult by the inherent differences between countries. This article argues that changes to the comprehensiveness, timeliness, consistency, and accessibility of fieldwork data facilitate monitoring and represent a necessary step forward towards achieving optimal data quality in cross-national surveys. It discusses the approach of the European Social Survey (ESS) for monitoring fieldwork cross-nationally, and specifically, the improvements made to central monitoring with the introduction of the Fieldwork Management System (FMS). Through real-life examples of the use of FMS by the central team, the article reflects and discusses the impact of the changes to fieldwork monitoring. The ESS experience demonstrates that there is more than one way to realise the benefits of improved fieldwork data management and provides insights about the process of improving central monitoring of fieldwork for other cross-national surveys.},
  journal = {Survey Methods: Insights from the Field (SMIF)},
  language = {en-US}
}

@article{bringmannWhatCentralityMeasures2019,
  title = {What Do Centrality Measures Measure in Psychological Networks?},
  author = {Bringmann, Laura F. and Elmer, Timon and Epskamp, Sacha and Krause, Robert W. and Schoch, David and Wichers, Marieke and Wigman, Johanna T. W. and Snippe, Evelien},
  year = {2019},
  month = jul,
  issn = {1939-1846, 0021-843X},
  doi = {10.1037/abn0000446},
  journal = {Journal of Abnormal Psychology},
  language = {en}
}

@inbook{brinolHistoricalViewAttitudes2019,
  title = {A {{Historical View}} on {{Attitudes}} and {{Persuasion}}},
  booktitle = {Oxford {{Research Encyclopedia}} of {{Psychology}}},
  author = {Bri{\~n}ol, Pablo and Petty, Richard E. and Guyer, Joshua J},
  year = {2019},
  month = jun,
  publisher = {{Oxford University Press}},
  doi = {10.1093/acrefore/9780190236557.013.510},
  abstract = {The history of attitudes research can be organized into three main sections covering attitude definition and measurement, attitude-behavior relationships, and attitude change. First, an evaluation of the history of attitude measurement reveals three relatively distinct phases: an early phase in which the classic direct self-report procedures were developed, a middle phase focused on ``indirect'' assessment devices, and a modern phase in which various measures designed to capture people's automatic or ``implicit'' attitudes have flourished. Second, the history of attitude-behavior correspondence can be organized also around three broad themes: an early period in which the presumed close association between attitudes and behaviors was largely an article of faith; a middle period in which some researchers concluded that little, if any, relationship existed between measures of attitudes and overt behaviors; and a more recent period in which the resolution of prior issues stimulated an explosion of research focused on identifying the moderators and psychological mechanisms responsible for attitude-behavior correspondence. Finally, the history of research and ideas regarding attitude change and persuasion can be organized around several prominent theories focused on distinct single processes, dual processes, or multiple processes, each of which are still used by contemporary attitudes researchers.},
  collaborator = {Bri{\~n}ol, Pablo and Petty, Richard E. and Guyer, Joshua J},
  isbn = {978-0-19-023655-7},
  language = {en}
}

@article{brodersenApplyingNetworkItem2020,
  title = {Applying the {{Network Item Response Model}} to {{Student Assessment Data}}},
  author = {Brodersen, Alex and Jin, Ick Hoon and Cheng, Ying and Jeon, Minjeong},
  year = {2020},
  month = mar,
  abstract = {This study discusses an alternative tool for modeling student assessment data. The model constructs networks from a matrix item responses and attempts to represent these data in low dimensional Euclidean space. This procedure has advantages over common methods used for modeling student assessment data such as Item Response Theory because it relaxes the highly restrictive local-independence assumption. This article provides a deep discussion of the model and the steps one must take to estimate it. To enable extending a present model by adding data, two methods for estimating the positions of new individuals in the network are discussed. Then, a real data analysis is then provided as a case study on using the model and how to interpret the results. Finally, the model is compared and contrasted to other popular models in psychological and educational measurement: Item response theory (IRT) and network psychometric Ising model for binary data.},
  archivePrefix = {arXiv},
  eprint = {2003.07657},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Brodersen et al/Brodersen et al_2020_Applying the Network Item Response Model to Student Assessment Data.pdf},
  journal = {arXiv:2003.07657 [stat]},
  language = {en},
  primaryClass = {stat}
}

@book{broereEssaysHowSocial2020,
  title = {Essays on How Social Network Structure Affects Asymmetric Coordination and Trust},
  author = {Broere, Joris Jan},
  year = {2020},
  publisher = {{Utrecht University}},
  abstract = {Network structure has been put forward as a possible solution to cooperation problems and social dilemmas. In the first part of this dissertation, the effect of network structure is studied for a social dilemma situation involving asymmetric coordination. The effects of network properties on these coordination problems are studied by means of agent-based models, models of statistical physics, and a laboratory experiment. In the second part, we study the question on how general trust can be established in societies that are becoming more individualistic. The theory known as organic solidarity argues that division of labor is one of the key foundations of trust and solidarity between people. This proposition is studied by quantifying aspects of the division of labor. We show that these aspects are strongly related to general trust.},
  annotation = {OCLC: 8836018678},
  file = {/home/aleksandar/Zotero/storage/2ZW5A2ZH/Broere - 2020 - Essays on how social network structure affects asy.pdf},
  isbn = {978-94-6416-296-7},
  language = {en}
}

@article{brooksHowMuchLiberal2019,
  title = {How {{Much Do Liberal}} and {{Conservative Identifiers Differ}} in the {{United States}}?*},
  shorttitle = {How {{Much Do Liberal}} and {{Conservative Identifiers Differ}} in the {{United States}}?},
  author = {Brooks, Clem and Nicholson, Adam},
  year = {2019},
  month = may,
  issn = {0038-0245, 1475-682X},
  doi = {10.1111/soin.12286},
  journal = {Sociological Inquiry},
  language = {en}
}

@article{broomModellingEvolutionStructured2020,
  title = {Modelling {{Evolution}} in {{Structured Populations Involving Multiplayer Interactions}}},
  author = {Broom, Mark and Erovenko, Igor V. and Rycht{\'a}{\v r}, Jan},
  year = {2020},
  month = jun,
  issn = {2153-0793},
  doi = {10.1007/s13235-020-00358-9},
  abstract = {We consider models of evolution in structured populations involving multiplayer games. Whilst also discussing other models, we focus on the modelling framework developed by Broom and Rycht\'a\v{r} (J Theor Biol 302:70\textendash 80, 2012) onwards. This includes key progress so far, the main gaps and limitations, the relationship and synergies with other models and a discussion of the direction of future work. In this regard as well as discussing existing work, there is some new research on the applicability and robustness of current models with respect to using them to model real populations. This is an important potential advance, as previously all of the work has been entirely theoretical. In particular, the most complex models will have many parameters, and we concentrate on considering simpler versions with a small number of parameters which still possess the key features which would make them applicable. We find that these models are generally robust, in particular issues that can arise related to small payoff changes at critical values and removal of pivotal vertices would have similar effects on other modelling system including evolutionary graph theory. These often occur where it can be argued that there is a lack of robustness in the real system that the model faithfully picks up, and so is not a problematic feature.},
  file = {/home/aleksandar/Dropbox/Zotero/Broom et al/Broom et al_2020_Modelling Evolution in Structured Populations Involving Multiplayer Interactions.pdf},
  journal = {Dynamic Games and Applications},
  language = {en}
}

@article{brosioCoercionEquityCentralization,
  title = {Coercion and Equity with Centralization of Government: How the Unification of {{Italy}} Impacted the Southern Regions},
  author = {Brosio, Giorgio},
  doi = {10.1007/s11127-018-0589-2},
  abstract = {{$<$}h3 class="a-plus-plus"{$>$}Abstract{$<$}/h3{$>$}                   {$<$}p class="a-plus-plus"{$>$}Italy was created in 1861 through military annexation by the Kingdom of Savoy (with capital city Torino in Piedmont) of other Italian territories. Immediately thereafter, the new national government started to extend Piedmontese laws to the new nation's southern regions, introducing conscription and heavy taxation. The institutions and body politics of the pre-unification Italian states differed considerably. The new state centralized governmental power to level those differences. The southern people, were subjected to heavy-handed coercion, if not exploitation. The paper focuses on the coercion imposed by fiscal policies on the South. It asks whether coercion from the center was attenuated by redistribution operated at the regional and, especially, at the personal level with a focus on the poor. The answers confirm that fiscal coercion was indeed formidable. The Italian state imposed a heavy tax burden on the poor of all regions. When public expenditure also is brought in the picture, the poor in the southern regions remained disadvantaged, but less than they were before unification.{$<$}/p{$>$}},
  journal = {Public Choice}
}

@article{brosioCoercionEquityCentralizationa,
  title = {Coercion and Equity with Centralization of Government: How the Unification of {{Italy}} Impacted the Southern Regions},
  author = {Brosio, Giorgio},
  doi = {10.1007/s11127-018-0589-2},
  abstract = {{$<$}h3 class="a-plus-plus"{$>$}Abstract{$<$}/h3{$>$}                   {$<$}p class="a-plus-plus"{$>$}Italy was created in 1861 through military annexation by the Kingdom of Savoy (with capital city Torino in Piedmont) of other Italian territories. Immediately thereafter, the new national government started to extend Piedmontese laws to the new nation's southern regions, introducing conscription and heavy taxation. The institutions and body politics of the pre-unification Italian states differed considerably. The new state centralized governmental power to level those differences. The southern people, were subjected to heavy-handed coercion, if not exploitation. The paper focuses on the coercion imposed by fiscal policies on the South. It asks whether coercion from the center was attenuated by redistribution operated at the regional and, especially, at the personal level with a focus on the poor. The answers confirm that fiscal coercion was indeed formidable. The Italian state imposed a heavy tax burden on the poor of all regions. When public expenditure also is brought in the picture, the poor in the southern regions remained disadvantaged, but less than they were before unification.{$<$}/p{$>$}},
  journal = {Public Choice}
}

@book{brownConfirmatoryFactorAnalysis2015,
  title = {Confirmatory Factor Analysis for Applied Research},
  author = {Brown, Timothy A.},
  year = {2015},
  edition = {Second edition},
  publisher = {{The Guilford Press}},
  address = {{New York ; London}},
  abstract = {"With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website offers data and program syntax files for most of the research examples, as well as links to CFA-related resources. New to This Edition *Updated throughout to incorporate important developments in latent variable modeling. *Chapter on Bayesian CFA and multilevel measurement models. *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. *Utilizes the latest versions of major latent variable software packages"--},
  file = {/home/aleksandar/Dropbox/Zotero/Brown/Brown_2015_Confirmatory factor analysis for applied research.pdf},
  isbn = {978-1-4625-1779-4 978-1-4625-1536-3},
  language = {en},
  lccn = {BF39.2.F32 B76 2015},
  series = {Methodology in the Social Sciences}
}

@book{brubakerNationalismReframedNationhood1996,
  title = {Nationalism Reframed: {{Nationhood}} and the National Question in the {{New Europe}}},
  shorttitle = {Nationalism Reframed},
  author = {Brubaker, Rogers},
  year = {1996},
  publisher = {{Cambridge University Press}},
  address = {{Cambridge}},
  isbn = {978-0-521-57224-8 978-0-521-57649-9},
  lccn = {DJK51 .B78 1996}
}

@article{brugReligionPartyChoice2009,
  title = {Religion and {{Party Choice}} in {{Europe}}},
  author = {van der Brug, Wouter and Hobolt, Sara B. and de Vreese, Claes H.},
  year = {2009},
  month = nov,
  volume = {32},
  pages = {1266--1283},
  publisher = {{Routledge}},
  issn = {0140-2382},
  doi = {10.1080/01402380903230694},
  abstract = {This paper investigates religiosity in relation to party choice in European Parliament elections. Conventional wisdom tells us that as Europe has secularised, the effect of religion on party choice should also have diminished. Yet, this cross-national and cross-temporal study of religious voting in European elections from 1989 to 2004 paints a more nuanced picture. It shows that a) the effect of religion has been declining, but has increased in recent years, b) religion matters in particular for voting for Christian Democratic parties and Conservative parties, c) while generational replacement reduces the overall effect of religion on electoral decisions, the effect of religion has recently increased within each generation, and d) the impact of religion depends on the religious context in which citizens live so that religion plays a bigger role in fractionalised societies. These findings are discussed in the light of a revived importance of religion for European politics.},
  annotation = {\_eprint: https://doi.org/10.1080/01402380903230694},
  file = {/home/aleksandar/Zotero/storage/5U85NIKW/01402380903230694.html},
  journal = {West European Politics},
  number = {6}
}

@article{brunsonSensitivityComorbidityNetwork,
  title = {Sensitivity of Comorbidity Network Analysis},
  author = {Brunson, Jason Cory and Agresta, Thomas P. and Laubenbacher, Reinhard C.},
  doi = {10.1093/jamiaopen/ooz067},
  abstract = {AbstractObjectives.  Comorbidity network analysis (CNA) is a graph-theoretic approach to systems medicine based on associations revealed from disease co-occurre},
  journal = {JAMIA Open},
  language = {en}
}

@article{bruscoDeterministicBlockmodellingSigned,
  title = {Deterministic Blockmodelling of Signed and Two-Mode Networks: {{A}} Tutorial with Software and Psychological Examples},
  shorttitle = {Deterministic Blockmodelling of Signed and Two-Mode Networks},
  author = {Brusco, Michael and Doreian, Patrick and Steinley, Douglas},
  volume = {n/a},
  issn = {2044-8317},
  doi = {10.1111/bmsp.12192},
  abstract = {Deterministic blockmodelling is a well-established clustering method for both exploratory and confirmatory social network analysis seeking partitions of a set of actors so that actors within each cluster are similar with respect to their patterns of ties to other actors (or, in some cases, other objects when considering two-mode networks). Even though some of the historical foundations for certain types of blockmodelling stem from the psychological literature, applications of deterministic blockmodelling in psychological research are relatively rare. This scarcity is potentially attributable to three factors: a general unfamiliarity with relevant blockmodelling methods and applications; a lack of awareness of the value of partitioning network data for understanding group structures and processes; and the unavailability of such methods on software platforms familiar to most psychological researchers. To tackle the first two items, we provide a tutorial presenting a general framework for blockmodelling and describe two of the most important types of deterministic blockmodelling applications relevant to psychological research: structural balance partitioning and two-mode partitioning based on structural equivalence. To address the third problem, we developed a suite of software programs that are available as both Fortran executable files and compiled Fortran dynamic-link libraries that can be implemented in the R software system. We demonstrate these software programs using networks from the literature.},
  copyright = {\textcopyright{} 2019 The British Psychological Society},
  file = {/home/aleksandar/Zotero/storage/48Q63AB5/bmsp.html},
  journal = {British Journal of Mathematical and Statistical Psychology},
  language = {en},
  number = {n/a}
}

@article{bruscoIsingModelsAlgorithms2019,
  title = {On {{Ising}} Models and Algorithms for the Construction of Symptom Networks in Psychopathological Research},
  author = {Brusco, Michael J. and Steinley, Douglas and Hoffman, Michaela and {Davis-Stober}, Clintin and Wasserman, Stanley},
  year = {2019},
  volume = {24},
  pages = {735--753},
  issn = {1939-1463(Electronic),1082-989X(Print)},
  doi = {10.1037/met0000207},
  abstract = {During the past 5 to 10 years, an estimation method known as eLasso has been used extensively to produce symptom networks (or, more precisely, symptom dependence graphs) from binary data in psychopathological research. The eLasso method is based on a particular type of Ising model that corresponds to binary pairwise Markov random fields, and its popularity is due, in part, to an efficient estimation process that is based on a series of l{$_1$}-regularized logistic regressions. In this article, we offer an unprecedented critique of the Ising model and eLasso. We provide a careful assessment of the conditions that underlie the Ising model as well as specific limitations associated with the eLasso estimation algorithm. This assessment leads to serious concerns regarding the implementation of eLasso in psychopathological research. Some potential strategies for eliminating or, at least, mitigating these concerns include (a) the use of partitioning or mixture modeling to account for unobserved heterogeneity in the sample of respondents, and (b) the use of co-occurrence measures for symptom similarity to either replace or supplement the covariance/correlation measure associated with eLasso. Two psychopathological data sets are used to highlight the concerns that are raised in the critique. (PsycINFO Database Record (c) 2019 APA, all rights reserved)},
  journal = {Psychological Methods},
  number = {6}
}

@article{brusisEURequirementsCompetitive2002,
  title = {Between {{EU}} Requirements, Competitive Politics, and National Traditions: {{Re}}-Creating Regions in the Accession Countries of {{Central}} and {{Eastern Europe}}},
  shorttitle = {Between {{EU Requirements}}, {{Competitive Politics}}, and {{National Traditions}}},
  author = {Brusis, Martin},
  year = {2002},
  month = oct,
  volume = {15},
  pages = {531--559},
  issn = {0952-1895, 1468-0491},
  doi = {10.1111/1468-0491.00200},
  journal = {Governance},
  language = {en},
  number = {4}
}

@article{brysonPolarizingMiddleInternet2019,
  title = {Polarizing the Middle: Internet Exposure and Public Opinion},
  shorttitle = {Polarizing the Middle},
  author = {Bryson, Bethany P.},
  year = {2019},
  month = jan,
  volume = {ahead-of-print},
  issn = {0144-333X},
  doi = {10.1108/IJSSP-09-2019-0181},
  abstract = {Purpose Research on opinion polarization in the USA repeatedly finds more divergence among politically privileged groups: respondents who are college educated, politically interested, party identified or have a liberal/conservative orientation. The purpose of this paper is to examine whether their excluded counterparts can be polarized by exposure to political information on the internet. Design/methodology/approach Quantile regression and visual analysis of raw data from the online and face-to-face samples in the 2012 and 2016 American National Election Studies (n=9,563) assessed the impact of online political information on opinion polarization among ideological moderates, political Independents, respondents without a college degree, and those with low interest in politics. Findings Exposure to online political information during the survey was associated with significant polarizing shifts toward more consistent ideological positions in all four groups. Practical implications Engaging the middle is a social justice issue as much as a matter of political conflict, and evidence suggests that politically excluded groups use the internet to translate their own views into the language of policy opinions and popular (polarized) politics. Recommended policy interventions include information literacy programs. Further research should use experimental models and browser histories. Originality/value Current research on political polarization leaves open the question of whether larger portions of the electorate are available to join the fray. This study shows that excluded publics can be polarized via exposure to online information.},
  file = {/home/aleksandar/Documents/Zotero/Bryson/Bryson_2019_Polarizing the middle.pdf;/home/aleksandar/Zotero/storage/IV5MLZPW/html.html},
  journal = {International Journal of Sociology and Social Policy},
  number = {ahead-of-print}
}

@article{buchholzMeasurementInvarianceTesting,
  title = {Measurement Invariance Testing in Questionnaires: {{A}} Comparison of Three {{Multigroup}}-{{CFA}} and {{IRT}}-Based Approaches},
  author = {Buchholz, Janine and Hartig, Johannes},
  pages = {25},
  abstract = {International Large-Scale Assessments aim at comparisons of countries with respect to latent constructs such as attitudes, values and beliefs. Measurement invariance (MI) needs to hold in order for such comparisons to be valid. Several statistical approaches to test for MI have been proposed: While Multigroup Confirmatory Factor Analysis (MGCFA) is particularly popular, a newer, IRTbased approach was introduced for non-cognitive constructs in PISA 2015, thus raising the question of consistency between these approaches. A total of three approaches (MGCFA for ordinal and continuous data, multi-group IRT) were applied to simulated data containing different types and extents of MI violations, and to the empirical non-cognitive PISA 2015 data. Analyses are based on indices of the magnitude (i.e., parameter-specific modification indices resulting from MGCFA and group-specific item fit statistics resulting from the IRT approach) and direction of local misfit (i.e., standardized parameter change and mean deviation, respectively). Results indicate that all measures were sensitive to (some) MI violations and more consistent in identifying group differences in item difficulty parameters.},
  file = {/home/aleksandar/Dropbox/Zotero/Buchholz_Hartig/Buchholz_Hartig_Measurement invariance testing in questionnaires.pdf},
  language = {en}
}

@article{buenoNulleigenvalueLocalizationQuantum2020,
  title = {Null-Eigenvalue Localization of Quantum Walks on Real-World Complex Networks},
  author = {Bueno, Ruben and Hatano, Naomichi},
  year = {2020},
  month = jun,
  abstract = {First we report that the adjacency matrices of real-world complex networks systematically have null eigenspaces with much higher dimensions than that of random networks. These null eigenvalues are caused by duplication mechanisms leading to structures with local symmetries which should be more present in complex organizations. The associated eigenvectors of these states are strongly localized. We then evaluate these microstructures in the context of quantum mechanics, demonstrating the previously mentioned localization by studying the spread of continuous-time quantum walks. This null-eigenvalue localization is essentially different from the Anderson localization in the following points: first, the eigenvalues do not lie on the edges of the density of states but at its center; second, the eigenstates do not decay exponentially and do not leak out of the symmetric structures. In this sense, it is closer to the bound state in continuum.},
  archivePrefix = {arXiv},
  eprint = {2007.00129},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/7LD7LKPM/Bueno and Hatano - 2020 - Null-eigenvalue localization of quantum walks on r.pdf;/home/aleksandar/Zotero/storage/AC8VWV4U/2007.html},
  journal = {arXiv:2007.00129 [cond-mat, physics:physics, physics:quant-ph]},
  primaryClass = {cond-mat, physics:physics, physics:quant-ph}
}

@techreport{buil-gilNonparametricBootstrapSmall2019,
  title = {Non-Parametric Bootstrap and Small Area Estimation to Mitigate Bias in Crowdsourced Data. {{Simulation}} Study and Application to Perceived Safety},
  author = {{Buil-Gil}, David and Solymosi, Reka and Moretti, Angelo},
  year = {2019},
  month = oct,
  institution = {{SocArXiv}},
  doi = {10.31235/osf.io/8hgjt},
  abstract = {Open and crowdsourced data are becoming prominent in social sciences research. Crowdsourcing projects harness information from large crowds of citizens who voluntarily participate into one collaborative project, and allow new insights into people's attitudes and perceptions. However, these are usually affected by a series of biases that limit their representativeness (i.e. self-selection bias, unequal participation, underrepresentation of certain areas and times). In this chapter we present a two-step method aimed to produce reliable small area estimates from crowdsourced data when no auxiliary information is available at the individual level. A non-parametric bootstrap, aimed to compute pseudosampling weights and bootstrap weighted estimates, is followed by an area-level modelbased small area estimation approach, which borrows strength from related areas based on a set of covariates, to improve the small area estimates. In order to assess the method, a simulation study and an application to safety perceptions in Greater London are conducted. The simulation study shows that the area-level model-based small area estimator under the non-parametric bootstrap improves (in terms of bias and variability) the small area estimates in the majority of areas. The application produces estimates of safety perceptions at a small geographical level in Greater London from Place Pulse 2.0 data. In the application, estimates are validated externally by comparing these to reliable survey estimates. Further simulation experiments and applications are needed to examine whether this method also improves the small area estimates when the sample biases are larger, smaller or show different distributions. A measure of reliability also needs to be developed to estimate the error of the small area estimates under the non-parametric bootstrap.},
  language = {en},
  type = {Preprint}
}

@article{bunceDefeatingDictatorsElectoral2010,
  title = {Defeating {{Dictators}}: {{Electoral Change}} and {{Stability}} in {{Competitive Authoritarian Regimes}}},
  shorttitle = {Defeating {{Dictators}}},
  author = {Bunce, Valerie J. and Wolchik, Sharon L.},
  year = {2010},
  month = jan,
  volume = {62},
  pages = {43--86},
  issn = {0043-8871, 1086-3338},
  doi = {10.1017/S0043887109990207},
  abstract = {What explains electoral stability and change in competitive authoritarian regimes? This article addresses the question by comparing eleven elections\textemdash six of which led to continuity in authoritarian rule and five of which led to the victory of the opposition\textemdash that took place between 1998 and 2008 in competitive authoritarian regimes countries located in the postcommunist region. Using interviews conducted with participants in all of these elections and other types of data and constructing a research design that allowed the authors to match these two sets of elections on a number of important dimensions, they assess two groups of hypotheses\textemdash those that highlight institutional, structural, and historical aspects of regime and opposition strength on the eve of these elections and others that highlight characteristics of the elections themselves. The authors conclude that the key difference was whether the opposition adopted a tool kit of novel and sophisticated electoral strategies that made them more popular and effective challengers to the regime.},
  file = {/home/aleksandar/Dropbox/Zotero/Bunce_Wolchik/Bunce_Wolchik_2010_Defeating Dictators.pdf},
  journal = {World Politics},
  language = {en},
  number = {1}
}

@article{bunceRethinkingRecentDemocratization2003,
  title = {Rethinking Recent Democratization: {{Lessons}} from the Postcommunist Experience},
  shorttitle = {Rethinking {{Recent Democratization}}},
  author = {Bunce, Valerie},
  year = {2003},
  month = jan,
  volume = {55},
  pages = {167--192},
  issn = {0043-8871, 1086-3338},
  doi = {10.1353/wp.2003.0010},
  journal = {World Politics},
  language = {en},
  number = {2}
}

@inproceedings{burbachNetlogoVsJulia2020,
  title = {Netlogo vs. {{Julia}}: {{Evaluating Different Options}} for the {{Simulation}} of {{Opinion Dynamics}}},
  shorttitle = {Netlogo vs. {{Julia}}},
  booktitle = {Digital {{Human Modeling}} and {{Applications}} in {{Health}}, {{Safety}}, {{Ergonomics}} and {{Risk Management}}. {{Human Communication}}, {{Organization}} and {{Work}}},
  author = {Burbach, Laura and Belavadi, Poornima and Halbach, Patrick and Kojan, Lilian and Plettenberg, Nils and Nakayama, Johannes and Ziefle, Martina and Calero Valdez, Andr{\'e}},
  editor = {Duffy, Vincent G.},
  year = {2020},
  pages = {3--19},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-49907-5_1},
  abstract = {Analysing complex phenomena, such as the world we live in, or complex interactions, also requires methods that are suitable for considering both the individual aspects of these phenomena and the resulting overall system. As a method well suited for the consideration of complex phenomena, we consider agent-based models in this study. Using two programming languages (Netlogo and Julia) we simulate a simple bounded-rationality opinion formation model with and without backfire effect. We analyzed, which of the languages is better for the creation of agent-based models and found, that both languages have some advantages for the creation of simulations. While Julia is much faster in simulating a model, Netlogo has a nice Interface and is more intuitive to use for non-computer scientists. Thus the choice of the programming language remains always a trade-off and in future more complex models should be considered using both programming languages.},
  isbn = {978-3-030-49907-5},
  language = {en},
  series = {Lecture {{Notes}} in {{Computer Science}}}
}

@article{burgerNetworkStructuredKinetic2020,
  title = {Network Structured Kinetic Models of Social Interactions},
  author = {Burger, Martin},
  year = {2020},
  month = jun,
  abstract = {The aim of this paper is to study the derivation of appropriate meso- and macroscopic models for interactions as appearing in social processes. There are two main characteristics the models take into account, namely a network structure of interactions, which we treat by an appropriate mesoscopic description, and a different role of interacting agents. The latter differs from interactions treated in classical statistical mechanics in the sense that the agents do not have symmetric roles, but there is rather an active and a passive agent. We will demonstrate how a certain form of kinetic equations can be obtained to describe such interactions at a mesoscopic level and moreover obtain macroscopic models from monokinetics solutions of those. The derivation naturally leads to systems of nonlocal reaction-diffusion equations (or in a suitable limit local versions thereof), which can explain spatial phase separation phenomena found to emerge from the microscopic interactions. We will highlight the approach in three examples, namely the evolution and coarsening of dialects in human language, the construction of social norms, and the spread of an epidemic.},
  archivePrefix = {arXiv},
  eprint = {2006.15452},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Burger/Burger_2020_Network structured kinetic models of social interactions.pdf;/home/aleksandar/Zotero/storage/IFC7828I/2006.html},
  journal = {arXiv:2006.15452 [physics]},
  primaryClass = {physics}
}

@article{burgessWhenPartiesGo2020,
  title = {When Parties Go Abroad: {{Explaining}} Patterns of Extraterritorial Voting},
  shorttitle = {When Parties Go Abroad},
  author = {Burgess, Katrina and Tyburski, Michael D.},
  year = {2020},
  month = aug,
  volume = {66},
  pages = {102169},
  issn = {0261-3794},
  doi = {10.1016/j.electstud.2020.102169},
  abstract = {As more countries grant political rights to their emigrants and more politicians look beyond national boundaries for support, scholars are beginning to explore the drivers and implications of voting from abroad. We use an original dataset of overseas campaigning by political parties in 108 elections in 24 countries to provide the first cross-national test of how party mobilization shapes turnout beyond national borders. Using fractional regression and inverse probability weighting with regression adjustment (IPWRA), we find that party mobilization increases extraterritorial voter turnout. Our results remain robust when controlling for emigrant profiles, institutional barriers to participation, and political context and correcting for self-selection bias.},
  file = {/home/aleksandar/Dropbox/Zotero/Burgess_Tyburski/Burgess_Tyburski_2020_When parties go abroad.pdf;/home/aleksandar/Zotero/storage/JU3BT7K9/S0261379420300536.html},
  journal = {Electoral Studies},
  language = {en}
}

@article{burkDyadicInterdependenceActororiented2007,
  title = {Beyond Dyadic Interdependence: {{Actor}}-Oriented Models for Co-Evolving Social Networks and Individual Behaviors},
  shorttitle = {Beyond Dyadic Interdependence},
  author = {Burk, William J. and Steglich, Christian E.G. and Snijders, Tom A.B.},
  year = {2007},
  month = jul,
  volume = {31},
  pages = {397--404},
  issn = {0165-0254, 1464-0651},
  doi = {10.1177/0165025407077762},
  journal = {International Journal of Behavioral Development},
  language = {en},
  number = {4}
}

@article{burrellRelaxingCommonBelief2020,
  title = {Relaxing {{Common Belief}} for {{Social Networks}}},
  author = {Burrell, Noah and Schoenebeck, Grant},
  year = {2020},
  month = sep,
  abstract = {We propose a relaxation of common belief called factional belief that is suitable for the analysis of strategic coordination on social networks. We show how this definition can be used to analyze revolt games on general graphs, including by giving an efficient algorithm that characterizes a structural result about the possible equilibria of such games. This extends prior work on common knowledge and common belief, which has been too restrictive for use in understanding strategic coordination and cooperation in social network settings.},
  archivePrefix = {arXiv},
  eprint = {2009.12936},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Burrell_Schoenebeck/Burrell_Schoenebeck_2020_Relaxing Common Belief for Social Networks.pdf;/home/aleksandar/Zotero/storage/3CQY4ZZS/2009.html},
  journal = {arXiv:2009.12936 [cs]},
  primaryClass = {cs}
}

@article{busemeyerPrimerQuantumCognition2019,
  title = {Primer on Quantum Cognition},
  author = {Busemeyer, Jerome R. and Wang, Zheng},
  year = {2019/ed},
  volume = {22},
  issn = {1138-7416, 1988-2904},
  doi = {10.1017/sjp.2019.51},
  abstract = {Quantum cognition is a new field in psychology, which is characterized by the application of quantum probability theory to human judgment and decision making behavior. This article provides an introduction that presents several examples to illustrate in a simple and concrete manner how to apply these principles to interesting psychological phenomena. Following each simple example, we present the general mathematical derivations and new predictions related to these applications.},
  file = {/home/aleksandar/Zotero/storage/BLZZ95TB/350DD5A8F5A12611E0D3A97F5D490BF2.html},
  journal = {The Spanish Journal of Psychology},
  language = {en}
}

@article{buserTracingDemocraticNarrative2013,
  title = {Tracing the Democratic Narrative: {{Big}} Society, Localism and Civic Engagement},
  shorttitle = {Tracing the {{Democratic Narrative}}},
  author = {Buser, Michael},
  year = {2013},
  month = feb,
  volume = {39},
  pages = {3--21},
  issn = {0300-3930, 1743-9388},
  doi = {10.1080/03003930.2012.693077},
  journal = {Local Government Studies},
  language = {en},
  number = {1}
}

@article{buskellSystemsApproachCultural2019,
  title = {A Systems Approach to Cultural Evolution},
  author = {Buskell, Andrew and Enquist, Magnus and Jansson, Fredrik},
  year = {2019},
  month = oct,
  volume = {5},
  pages = {1--15},
  issn = {2055-1045},
  doi = {10.1057/s41599-019-0343-5},
  abstract = {A widely accepted view in the cultural evolutionary literature is that culture forms a dynamic system of elements (or `traits') linked together by a variety of relationships. Despite this, large families of models within the cultural evolutionary literature tend to represent only a small number of traits, or traits without interrelationships. As such, these models may be unable to capture complex dynamics resulting from multiple interrelated traits. Here we put forward a systems approach to cultural evolutionary research\textemdash one that explicitly represents numerous cultural traits and their relationships to one another. Basing our discussion on simple graph-based models, we examine the implications of the systems approach in four domains: (i) the cultural evolution of decision rules (`filters') and their influence on the distribution of cultural traits in a population; (ii) the contingency and stochasticity of system trajectories through a structured state space; (iii) how trait interrelationships can modulate rates of cultural change; and (iv) how trait interrelationships can contribute to understandings of inter-group differences in realised traits. We suggest that the preliminary results presented here should inspire greater attention to the role of multiple interrelated traits on cultural evolution, and should motivate attempts to formalise the rich body of analyses and hypotheses within the humanities and social science literatures.},
  copyright = {2019 The Author(s)},
  file = {/home/aleksandar/Zotero/storage/THIU6RC4/s41599-019-0343-5.html},
  journal = {Palgrave Communications},
  language = {en},
  number = {1}
}

@article{buskensSocialStructureTrust1998,
  title = {The Social Structure of Trust},
  author = {Buskens, Vincent},
  year = {1998},
  month = jul,
  volume = {20},
  pages = {265--289},
  issn = {0378-8733},
  doi = {10.1016/S0378-8733(98)00005-7},
  abstract = {This paper addresses the way in which the level of trust in cooperative relations depends on network structures. The study is an elaboration of models developed in earlier papers using iterated games [Weesie, J., Buskens, V., Raub, W., 1998. The management of trust relations via institutional and structural embeddedness. Journal of Mathematical Sociology (in press); Buskens, V., 1995. Social Networks and the Effect of Reputation on Cooperation. ISCORE Paper No. 42, Utrecht University]. We distinguish individual and group network measures. Applying a combination of approximation methods to the game-theoretic solution to the model, we derive hypotheses on the effects of density, outdegree centrality, and centralization on the level of trust a trustor can have in a trustee. We conclude that higher density and outdegree induce more trust. Centralization increases trust if it is `well organized,' i.e., actors who can place more trust are central in the network. Furthermore, we discuss theoretical evidence that the relative importance of density compared to outdegree increases if the trust problem at the dyadic level is large. Finally, we show that, in many situations, a few simple network measures explain most of the effects of the network structure as a whole.},
  file = {/home/aleksandar/Documents/Zotero/Buskens/Buskens_1998_The social structure of trust.pdf;/home/aleksandar/Documents/Zotero/Buskens/Notes.pdf;/home/aleksandar/Zotero/storage/HJ6H6B63/S0378873398000057.html},
  journal = {Social Networks},
  language = {en},
  number = {3}
}

@article{buskensSpreadingInformationDeveloping2020,
  title = {Spreading Information and Developing Trust in Social Networks to Accelerate Diffusion of Innovations},
  author = {Buskens, Vincent},
  year = {2020},
  month = nov,
  issn = {0924-2244},
  doi = {10.1016/j.tifs.2020.10.040},
  abstract = {Background New food technologies developed by producers who want to spread their innovation require potential new adopters to receive information about the innovation as well as to develop trust about the appropriateness and quality of the new technology. Social networks are key for spreading information and for developing trust. In this essay, I will summarize sociological knowledge about how the structure of social networks can accelerate or inhibit innovation diffusion among consumers. Scope and approach Innovation adoption is mostly a multistage process in which potential adopters/consumers need to obtain information first. A second step towards adoption is developing appreciation for the advantages of the innovation. A third step is the development of trust that the new product or technology indeed brings the advantages that it promises. I will explain based on existing literature why and in what manner, different structural properties of social networks are crucial for the consumer side of the adoption process. Key findings and conclusions While for information diffusion predominantly the number of channels through which information can flow is important, and prevention of redundant information transfers helps to speed up information, the appreciation for the advantages of the innovation will require some redundancy and recurrent confirmation of the success of the innovation. To develop trust, even more confirmation is likely to be important and close social circles in which people repeatedly meet and know each other's acquaintances are known to be especially beneficial to create trust.},
  file = {/home/aleksandar/Zotero/storage/8RU4B9B6/S0924224420306634.html;/home/aleksandar/Zotero/storage/F34PKR62/S0924224420306634.html},
  journal = {Trends in Food Science \& Technology},
  keywords = {Diffusion,Innovations,Social networks,Trust},
  language = {en}
}

@book{butlerPoliticalChangeBritain1974,
  title = {Political Change in {{Britain}}: {{The}} Evolution of Electoral Choice},
  shorttitle = {Political Change in {{Britain}}},
  author = {Butler, David and Stokes, Donald E},
  year = {1974},
  publisher = {{Macmillan}},
  address = {{London}},
  annotation = {OCLC: 576430289},
  isbn = {978-1-349-02048-5 978-1-349-02050-8},
  language = {English}
}

@article{butlerWhyNotSwing1990,
  title = {Why Not Swing? {{Measuring}} Electoral Change},
  shorttitle = {Why {{Not Swing}}?},
  author = {Butler, David and Beek, Stephen D. Van},
  year = {1990},
  month = jun,
  volume = {23},
  pages = {178},
  issn = {10490965},
  doi = {10.2307/420065},
  journal = {Political Science and Politics},
  number = {2}
}

@article{buttersPolarizedNetworksNew2020,
  title = {Polarized {{Networks}}? {{New Evidence}} on {{American Voters}}' {{Political Discussion Networks}}},
  shorttitle = {Polarized {{Networks}}?},
  author = {Butters, Ross and Hare, Christopher},
  year = {2020},
  month = sep,
  issn = {1573-6687},
  doi = {10.1007/s11109-020-09647-w},
  abstract = {An important mechanism of mass political polarization involves citizens' social networks: how politically homogeneous are they, how has this changed over recent years, and which individual and contextual variables predict the degree of homogeneity in social networks? Moreover, what are the consequences of network homophily on political preferences and in and out-group perceptions? In this paper, we address these questions by combining data from the 2000 American National Election Study and original data from the 2016 Cooperative Congressional Election Study. Both surveys ask respondents a battery of questions about the individuals with whom they most frequently discuss politics, including perceived vote choice and level of political knowledge. Using these data, we offer an updated empirical assessment of how polarization is influencing\textemdash and is influenced by\textemdash social network homophily.},
  journal = {Political Behavior},
  language = {en}
}

@article{buttsDynamicProcessReference2019,
  title = {A {{Dynamic Process Reference Model}} for {{Sparse Networks}} with {{Reciprocity}}},
  author = {Butts, Carter T.},
  year = {2019},
  month = dec,
  abstract = {Many social and other networks exhibit stable size scaling relationships, such that features such as mean degree or reciprocation rates change slowly or are approximately constant as the number of vertices increases. Statistical network models built on top of simple Bernoulli baseline (or reference) measures often behave unrealistically in this respect, leading to the development of sparse reference models that preserve features such as mean degree scaling. In this paper, we generalize recent work on the micro-foundations of such reference models to the case of sparse directed graphs with non-vanishing reciprocity, providing a dynamic process interpretation of the emergence of stable macroscopic behavior.},
  archivePrefix = {arXiv},
  eprint = {1912.13144},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Butts/Butts_2019_A Dynamic Process Reference Model for Sparse Networks with Reciprocity.pdf},
  journal = {arXiv:1912.13144 [cs, stat]},
  language = {en},
  primaryClass = {cs, stat}
}

@article{caiRandomWalksRandomly2020,
  title = {Random Walks on Randomly Evolving Graphs},
  author = {Cai, Leran and Sauerwald, Thomas and Zanetti, Luca},
  year = {2020},
  month = jun,
  abstract = {A random walk is a basic stochastic process on graphs and a key primitive in the design of distributed algorithms. One of the most important features of random walks is that, under mild conditions, they converge to a stationary distribution in time that is at most polynomial in the size of the graph. This fundamental property, however, only holds if the graph does not change over time, while on the other hand many distributed networks are inherently dynamic, and their topology is subjected to potentially drastic changes. In this work we study the mixing (i.e., converging) properties of random walks on graphs subjected to random changes over time. Specifically, we consider the edge-Markovian random graph model: for each edge slot, there is a two-state Markov chain with transition probabilities \$p\$ (add a non-existing edge) and \$q\$ (remove an existing edge). We derive several positive and negative results that depend on both the density of the graph and the speed by which the graph changes. We show that if \$p\$ is very small (i.e., below the connectivity threshold of Erd\textbackslash H\{o\}s-R\textbackslash '\{e\}nyi random graphs), random walks do not mix (fast). When \$p\$ is larger, instead, we observe the following behavior: if the graph changes slowly over time (i.e., \$q\$ is small), random walks enjoy strong mixing properties that are comparable to the ones possessed by random walks on static graphs; however, if the graph changes too fast (i.e., \$q\$ is large), only coarse mixing properties are preserved.},
  archivePrefix = {arXiv},
  eprint = {2006.10589},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Cai et al/Cai et al_2020_Random walks on randomly evolving graphs.pdf;/home/aleksandar/Zotero/storage/3YWTURQU/2006.html},
  journal = {arXiv:2006.10589 [cs, math]},
  keywords = {_tablet},
  primaryClass = {cs, math}
}

@article{calatayudExploringSolutionLandscape2019,
  title = {Exploring the Solution Landscape Enables More Reliable Network Community Detection},
  author = {Calatayud, Joaqu{\'i}n and {Bernardo-Madrid}, Rub{\'e}n and Neuman, Magnus and Rojas, Alexis and Rosvall, Martin},
  year = {2019},
  month = may,
  abstract = {To understand how a complex system is organized and functions, researchers often identify communities in the system's network of interactions. Because it is practically impossible to explore all solutions to guarantee the best one, many community-detection algorithms rely on multiple stochastic searches. But for a given combination of network and stochastic algorithm, how many searches are sufficient to find a solution that is good enough? The standard approach is to pick a reasonably large number of searches and select the network partition with the highest quality or derive a consensus solution based on all network partitions. However, if different partitions have similar qualities such that the solution landscape is degenerate, the single best partition may miss relevant information, and a consensus solution may blur complementary communities. Here we address this degeneracy problem with coarse-grained descriptions of the solution landscape. We cluster network partitions based on their similarity and suggest an approach to determine the minimum number of searches required to describe the solution landscape adequately. To make good use of all partitions, we also propose different ways to explore the solution landscape, including a significance clustering procedure. We test these approaches on synthetic and real-world networks, and find that different networks and algorithms require a different number of searches and that exploring the coarse-grained solution landscape can reveal noteworthy complementary solutions and enable more reliable community detection.},
  archivePrefix = {arXiv},
  eprint = {1905.11230},
  eprinttype = {arxiv},
  journal = {arXiv:1905.11230 [physics]},
  primaryClass = {physics}
}

@article{caldarelliRoleBotSquads2020,
  title = {The Role of Bot Squads in the Political Propaganda on {{Twitter}}},
  author = {Caldarelli, Guido and De Nicola, Rocco and Del Vigna, Fabio and Petrocchi, Marinella and Saracco, Fabio},
  year = {2020},
  month = dec,
  volume = {3},
  pages = {81},
  issn = {2399-3650},
  doi = {10.1038/s42005-020-0340-4},
  file = {/home/aleksandar/Dropbox/Zotero/Caldarelli et al/Caldarelli et al_2020_The role of bot squads in the political propaganda on Twitter.pdf},
  journal = {Communications Physics},
  language = {en},
  number = {1}
}

@article{camargoNewMethodsSteadyState2020,
  title = {New {{Methods}} for the {{Steady}}-{{State Analysis}} of {{Complex Agent}}-{{Based Models}}},
  author = {Camargo, Chico Q.},
  year = {2020},
  volume = {8},
  publisher = {{Frontiers}},
  issn = {2296-424X},
  doi = {10.3389/fphy.2020.00103},
  abstract = {Among all tools used to understand collective human behaviour, few tools have been as successful as agent-based models (ABMs). These models have been particularly effective at describing emergent social behaviour, such as spatial segregation in neighbourhoods or opinion polarization on social networks. ABMs are particularly common in the study of opinion and belief dynamics, being used by fields ranging from anthropology to statistical physics. These models, much like the social systems they describe, often do not have unique output variables, scales, or clear order parameters. This lack of clearly measurable emergent behaviour makes such complex ABMs difficult to study, ultimately limiting their application to cases of empirical interest. In this paper, we introduce a series of approaches to analyze complex multidimensional ABMs, drawing from information theory and cluster analysis. We use these approaches to explore a multi-level agent-based model of ideological alignment introduced by Banisch and Olbrisch to extend M\"as and Flache's argument communication theory of bi-polarization. We use the tools introduced here to perform a thorough analysis of the model for small system sizes, identifying the convergence towards steady-state behaviour, and describing the full spectrum of steady-state distributions produced by this model. Finally, we show how the approach we introduced can be easily adapted for larger implementations, as well as for other complex agent-based models of social behaviour.},
  file = {/home/aleksandar/Dropbox/Zotero/Camargo/Camargo_2020_New Methods for the Steady-State Analysis of Complex Agent-Based Models.pdf},
  journal = {Frontiers in Physics},
  language = {English}
}

@article{cameronGovernmentPerformanceDissatisfaction2020,
  title = {Government Performance and Dissatisfaction with Democracy in {{Australia}}},
  author = {Cameron, Sarah},
  year = {2020},
  month = may,
  volume = {0},
  pages = {1--21},
  publisher = {{Routledge}},
  issn = {1036-1146},
  doi = {10.1080/10361146.2020.1755221},
  abstract = {Satisfaction with democracy has declined rapidly in Australia, reaching the lowest level recorded since the 1970s in 2019. Whereas Australian citizens used to be among the most satisfied democrats in the world, there is now evidence of widespread dissatisfaction. What explains this rapid decline in political support? Comparative studies emphasise the role of government performance, both political and economic, in shaping citizens' attitudes towards the political system. This paper examines the role of government performance in shaping satisfaction with democracy in Australia, using Australian Election Study data from 1996 to 2019. The results demonstrate that frequent changes of prime minister, which a majority of voters disapproved of, and rising economic pessimism contributed to the decline of democratic satisfaction in Australia.},
  annotation = {\_eprint: https://doi.org/10.1080/10361146.2020.1755221},
  journal = {Australian Journal of Political Science},
  number = {0}
}

@article{campajolaEquivalenceKineticIsing2020,
  title = {On the Equivalence between the {{Kinetic Ising Model}} and Discrete Autoregressive Processes},
  author = {Campajola, Carlo and Lillo, Fabrizio and Mazzarisi, Piero and Tantari, Daniele},
  year = {2020},
  month = aug,
  abstract = {Binary random variables are the building blocks used to describe a large variety of systems, from magnetic spins to financial time series and neuron activity. In Statistical Physics the Kinetic Ising Model has been introduced to describe the dynamics of the magnetic moments of a spin lattice, while in time series analysis discrete autoregressive processes have been designed to capture the multivariate dependence structure across binary time series. In this article we provide a rigorous proof of the equivalence between the two models in the range of a unique and invertible map unambiguously linking one model parameters set to the other. Our result finds further justification acknowledging that both models provide maximum entropy distributions of binary time series with given means, auto-correlations, and lagged cross-correlations of order one.},
  archivePrefix = {arXiv},
  eprint = {2008.10666},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/MDAPPWQ3/Campajola et al_2020_On the equivalence between the Kinetic Ising Model and discrete autoregressive.pdf;/home/aleksandar/Zotero/storage/8SYQAEV2/2008.html},
  journal = {arXiv:2008.10666 [cond-mat, physics:physics]},
  primaryClass = {cond-mat, physics:physics}
}

@book{campbellAmericanVoterAbridgement1964,
  title = {The {{American}} Voter: {{An}} Abridgement},
  shorttitle = {The {{American}} Voter},
  editor = {Campbell, Angus},
  year = {1964},
  publisher = {{Wiley}},
  address = {{New York/N.Y. u.a}},
  annotation = {OCLC: 325666},
  isbn = {978-0-471-13335-3}
}

@article{campbellEquivalenceTestingStandardized2020,
  ids = {campbellEquivalenceTestingStandardized2020a},
  title = {Equivalence Testing for Standardized Effect Sizes in Linear Regression},
  author = {Campbell, Harlan},
  year = {2020},
  month = apr,
  abstract = {In this paper, we introduce equivalence testing procedures for standardized effect sizes in a linear regression. We show how to define valid hypotheses and calculate p-values for these tests. Such tests are necessary to confirm the lack of a meaningful association between an outcome and predictors. A simulation study is conducted to examine type I error rates and statistical power. We also compare using equivalence testing as part of a frequentist testing scheme with an alternative Bayesian testing approach. The results indicate that the proposed equivalence test is a potentially useful tool for ''testing the null.''},
  archivePrefix = {arXiv},
  eprint = {2004.01757},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/HZ46WXHS/2004.html},
  journal = {arXiv:2004.01757 [stat]},
  primaryClass = {stat}
}

@article{cantwellCorrelationComplexNetworks,
  title = {Correlation in {{Complex Networks}}},
  author = {Cantwell, George Tsering},
  pages = {150},
  file = {/home/aleksandar/Zotero/storage/PJMLNFGJ/Cantwell - Correlation in Complex Networks.pdf},
  language = {en}
}

@article{cantwellThresholdingNormallyDistributed2020,
  title = {Thresholding Normally Distributed Data Creates Complex Networks},
  author = {Cantwell, George T. and Liu, Yanchen and Maier, Benjamin F. and Schwarze, Alice C. and Serv{\'a}n, Carlos A. and Snyder, Jordan and {St-Onge}, Guillaume},
  year = {2020},
  month = jun,
  volume = {101},
  pages = {062302},
  publisher = {{American Physical Society}},
  doi = {10.1103/PhysRevE.101.062302},
  abstract = {Network data sets are often constructed by some kind of thresholding procedure. The resulting networks frequently possess properties such as heavy-tailed degree distributions, clustering, large connected components, and short average shortest path lengths. These properties are considered typical of complex networks and appear in many contexts, prompting consideration of their universality. Here we introduce a simple model for correlated relational data and study the network ensemble obtained by thresholding it. We find that some, but not all, of the properties associated with complex networks can be seen after thresholding the correlated data, even though the underlying data are not ``complex.'' In particular, we observe heavy-tailed degree distributions, a large numbers of triangles, and short path lengths, while we do not observe nonvanishing clustering or community structure.},
  journal = {Physical Review E},
  number = {6}
}

@article{capraroDualprocessApproachHuman2019,
  title = {The Dual-Process Approach to Human Sociality: {{A}} Review},
  shorttitle = {The Dual-Process Approach to Human Sociality},
  author = {Capraro, Valerio},
  year = {2019},
  month = jun,
  abstract = {Which social decisions are intuitive? Which are deliberative? The dual-process approach to human sociality has emerged in the last decades as a vibrant and exciting area of research. Here, I review the existing literature on the cognitive basis of cooperation, altruism, honesty, equity-efficiency, positive and negative reciprocity, and moral judgments. For each of these domains, I list a number of open problems that I believe to be crucial to further advance our understanding of human social cognition. I conclude by making an attempt to introduce a game-theoretical framework to organize the existing empirical evidence. This framework seems promising, as it turns out to make predictions that are generally in line with the experimental data in all but one domain: positive reciprocity. I tried to keep the review self-contained, exhaustive, and research-oriented. My hope is that it can contribute to bring further attention to this fascinating area of research.},
  archivePrefix = {arXiv},
  eprint = {1906.09948},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/DQSPWNWR/1906.html},
  journal = {arXiv:1906.09948 [physics, q-bio]},
  primaryClass = {physics, q-bio}
}

@misc{CapturingRationalizationBias,
  title = {Capturing {{Rationalization Bias}} and {{Differential Item Functioning}}: {{A Unified Bayesian Scaling Approach}} | {{Political Analysis}} | {{Cambridge Core}}},
  howpublished = {https://www.cambridge.org/core/journals/political-analysis/article/capturing-rationalization-bias-and-differential-item-functioning-a-unified-bayesian-scaling-approach/B5EA395887034A9E555BE78B1974CEF9}
}

@book{caramaniComparativePolitics2011,
  title = {Comparative Politics},
  editor = {Caramani, Daniele},
  year = {2011},
  edition = {2nd ed},
  publisher = {{Oxford University Press}},
  address = {{Oxford ; New York, NY}},
  abstract = {"Comparative Politics" provides a comprehensive introduction to political systems around the world. It covers methods and theories; the nation-state; institutions; actors and processes; policies; and recent changes},
  annotation = {OCLC: 656767557},
  isbn = {978-0-19-957497-1},
  lccn = {JA86 .C526 2011}
}

@article{caramaniEuropeanizationElectoralPolitics2012,
  title = {The {{Europeanization}} of Electoral Politics: {{An}} Analysis of Converging Voting Distributions in 30 {{European}} Party Systems, 1970\textendash 2008},
  shorttitle = {The {{Europeanization}} of Electoral Politics},
  author = {Caramani, Daniele},
  year = {2012},
  month = nov,
  volume = {18},
  pages = {803--823},
  issn = {1354-0688, 1460-3683},
  doi = {10.1177/1354068810389640},
  journal = {Party Politics},
  language = {en},
  number = {6}
}

@book{caramaniEvropeizacijaPolitikeFormiranje2017,
  title = {Evropeizacija Politike: {{Formiranje}} Evropskog Bira\v{c}kog  i Partijskog Sistema u Istorijskoj Perspektivi},
  author = {Caramani, Daniele},
  year = {2017},
  publisher = {{Slu\v{z}beni glasnik}},
  address = {{Beograd}}
}

@book{caramaniNationalizationPoliticsFormation2004,
  title = {The Nationalization of Politics: {{The}} Formation of National Electorates and Party Systems in {{Western Europe}}},
  shorttitle = {The Nationalization of Politics},
  author = {Caramani, Daniele},
  year = {2004},
  publisher = {{Cambridge University Press}},
  address = {{Cambridge}},
  isbn = {978-0-521-82799-7 978-0-521-53520-5},
  lccn = {JN94.A95 C368 2004},
  series = {Cambridge Studies in Comparative Politics}
}

@article{carelloChapterWhyNonlinear,
  title = {Chapter 1. {{Why Nonlinear Methods}}?},
  author = {Carello, Claudia and Moreno, Miguel A},
  pages = {25},
  file = {/home/aleksandar/Zotero/storage/Q6YKWQ4A/Carello and Moreno - Chapter 1. Why Nonlinear Methods.pdf},
  language = {en}
}

@article{carenSocialMovementGeneration2011,
  title = {A {{Social Movement Generation}}: {{Cohort}} and {{Period Trends}} in {{Protest Attendance}} and {{Petition Signing}}},
  author = {Caren, Neal and Ghoshal, Raj Andrew and Ribas, Vanesa},
  year = {2011},
  month = feb,
  volume = {76},
  pages = {125--151},
  issn = {0003-1224},
  doi = {10.1177/0003122410395369},
  abstract = {This project explores cohort and period trends in political participation in the United States between 1973 and 2008. We examine the extent to which protest attendance and petition signing have diffused to different kinds of actors across multiple generations; we test claims central to understanding trends in social movement participation. Using aggregated, cross-sectional survey data on political involvement from 34,241 respondents, we examine changes in the probability of ever having attended a protest or signed a petition over time periods and across cohorts using cross-classified, random-effects models. We find a strong generational effect on the probability of ever having attended a protest, which explains much of the observed change in self-reports of protest behavior. More than half of this generational effect is a result of compositional change, but we find little evidence that protest attendance diffused to new types of actors. We compare these findings with a less confrontational form of protesting, petition signing, which shows more period than cohort effects. We argue that social movement activities have not become a widespread means of civic engagement.},
  journal = {American Sociological Review},
  number = {1}
}

@book{careyBeginnerGuideScientific2011,
  title = {A Beginner's Guide to Scientific Method},
  author = {Carey, Stephen S.},
  year = {2011},
  abstract = {4th ed. Copyright date on label on title page verso. A comprehensive guide that provides an introduction to the scientific method of inquiry. It helps you not only learn about the proper conduct of science but also how to recognize and question factors such as pseudoscience, untestable explanations and fallacies. Science. Just what is science? \textendash{} Asking why \textendash{} Scientific method \textendash{} The consequences of science \textendash{} Scientific method in daily life \textendash{} Things to come \textendash{} Exercises. Observation. Making accurate observations \textendash{} Anomalous phenomena \textendash{} Observing anomalies \textendash{} The burden of proof \textendash{} Concept quiz \textendash{} Exercises. Explanations. Explanation, theory, and hypothesis \textendash{} Causation \textendash{} Correlation \textendash{} Causal mechanisms \textendash{} Underlying processes \textendash{} Laws \textendash{} Function \textendash{} The interdependence of explanatory methods \textendash{} Rival explanations and Occam's razor \textendash{} Explanation and description \textendash{} Ultimate explanations \textendash{} Concept quiz \textendash{} Exercises. Experimentation. The basic method \textendash{} Confirmation and rejection \textendash{} Designing a good test \textendash{} Real-world experiments \textendash{} How not to design a test \textendash{} Conceptual vagueness \textendash{} Testing extraordinary claims \textendash{} Predictive clarity \textendash{} Bias and explanations \textendash{} Concept quiz \textendash{} Exercises. Establishing causal links. Causal studies \textendash{} Ruling out chance \textendash{} Multiple causal factors \textendash{} Randomized, prospective, and retrospective casual studies \textendash{} Reading between the Lines \textendash{} Concept quiz \textendash{} Exercises. Fallacies in the name of science. What is a fallacy? \textendash{} False anomalies \textendash{} Questionable arguments by elimination \textendash{} Illicit causal inferences \textendash{} Unsupported analogies and similarities \textendash{} Untestable explanations and predictions \textendash{} Empty jargon \textendash{} Ad hoc rescues \textendash{} Exploiting uncertainty \textendash{} Science and pseudoscience \textendash{} Concept quiz \textendash{} Exercises.},
  isbn = {978-1-111-30555-0}
}

@techreport{cargninoWeReGood2020,
  title = {We're a {{Good Match}}: {{Selective Political Friending}} on {{Social Networking Sites}}},
  shorttitle = {We're a {{Good Match}}},
  author = {Cargnino, Manuel and Neubaum, German and Winter, Stephan},
  year = {2020},
  month = sep,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/9dmgf},
  abstract = {Political social media use has become the topic of a growing amount of scholarship. In this regard, the role of user behavior in the formation of politically homogeneous environments (so-called echo chambers) is not fully understood. Building on the concept of selective exposure, we introduce the notion of selective political friending, i.e., the preference for political like-mindedness in social affiliations on social networking sites. In a pre-registered laboratory experiment (N = 199), we find that users preferably build connections to those who share opinions toward controversial political issues. Political like-mindedness outperforms advantages based on the popularity of another user or the career-related fit with another user. Political friending is particularly pronounced when individuals' pre-existing opinions are strong, while tendencies toward cognitive closure and the desire for shared reality do not impact like-minded friending. The present study unravels psychological patterns in the process of tie-building on SNS and points to the necessity to take motivational complexity into account when studying phenomena linked to political homogeneity. Being the first study to systematically address politically motivated contact choices on social networking sites jointly with their psychological antecedents, this study sheds new light on the debate about like-mindedness in online communication.},
  file = {/home/aleksandar/Zotero/storage/Q6FFPUY6/Cargnino et al. - 2020 - We're a Good Match Selective Political Friending .pdf},
  language = {en},
  type = {Preprint}
}

@article{carlettiRandomWalksCommunity2020,
  title = {Random Walks and Community Detection in Hypergraphs},
  author = {Carletti, Timoteo and Fanelli, Duccio and Lambiotte, Renaud},
  year = {2020},
  month = oct,
  abstract = {We propose a one parameter family of random walk processes on hypergraphs, where a parameter biases the dynamics of the walker towards hyperedges of low or high cardinality. We show that for each value of the parameter the resulting process defines its own hypergraph projection on a weighted network. We then explore the differences between them by considering the community structure associated to each random walk process. To do so, we generalise the Markov stability framework to hypergraphs and test it on artificial and real-world hypergraphs.},
  archivePrefix = {arXiv},
  eprint = {2010.14355},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Carletti et al/Carletti et al_2020_Random walks and community detection in hypergraphs.pdf;/home/aleksandar/Zotero/storage/CTLB7XDY/2010.html},
  journal = {arXiv:2010.14355 [cond-mat, physics:physics]},
  keywords = {Computer Science - Social and Information Networks,Condensed Matter - Statistical Mechanics,Mathematics - Dynamical Systems,Physics - Physics and Society},
  primaryClass = {cond-mat, physics:physics}
}

@article{carlsenFragileStateIndex2017,
  title = {Fragile State Index: {{Trends}} and Developments. {{A}} Partial Order Data Analysis},
  shorttitle = {Fragile State Index},
  author = {Carlsen, Lars and Bruggemann, Rainer},
  year = {2017},
  volume = {133},
  pages = {1--14},
  publisher = {{Springer}},
  journal = {Social indicators research},
  number = {1}
}

@article{carothersSurprisingInstabilityCompetitive2018,
  title = {The {{Surprising Instability}} of {{Competitive Authoritarianism}}},
  author = {Carothers, Christopher},
  year = {2018},
  volume = {29},
  pages = {129--135},
  issn = {1086-3214},
  doi = {10.1353/jod.2018.0068},
  file = {/home/aleksandar/Dropbox/Zotero/Carothers/Carothers_2018_The Surprising Instability of Competitive Authoritarianism.pdf},
  journal = {Journal of Democracy},
  language = {en},
  number = {4}
}

@article{carquevilleDozentinAutorMatrikelnummer,
  title = {{Dozentin: Autor(in): Matrikelnummer: Abgabedatum:}},
  author = {Carqueville, Marcel},
  pages = {31},
  abstract = {Das vorliegende empirische Projekt untersuchte die Auswirkungen von den vier Pers\"onlichkeitseigenschaften der dunklen Tetrade (Narzissmus, Machiavellismus, Psychopathie und Sadismus) auf vier verschiedene Humorstile (sozialer Humor, selbstaufwertender Humor, feindlicher Humor und selbstabwertender Humor). Daf\"ur haben 101 Probanden den Humor Styles Questionnaire (HSQ), den Short Dark Triad Personality Measure (SD3) und den Comprehensive Assessement of Sadistic Tendencies (CAST) anhand einer Online Erhebung ausgef\"ullt. Das erste Ziel der Studie war die Best\"atigung der Assoziationen f\"ur die Konstrukte der dunklen Triade mit den Humorstilen, die von Veselka et al. (2010) und Martin et al. (2012) berichtet wurden. Das zweite Ziel war die Weiterentwicklung der Resultate mit der Pers\"onlichkeitseigenschaft Sadismus, die Bestandteil der dunklen Tetrade ist. Die vorangegangenen Resultate konnten teilweise best\"atigt werden. Gemeinsamkeiten wie die positive Assoziation von feindlichem Humor mit Psychopathie und Machiavellismus, sowie die ebenfalls positive Assoziation von Narzissmus und sozialem Humor wurden festgestellt. Jedoch ergaben sich auch Abweichungen zu den vorangegangen Erhebungen. Au\ss erdem zeigte Sadismus einen positiven Zusammenhang zu allen untersuchten Humorstilen. Alles in allem helfen die vorliegenden Ergebnisse dabei die Natur von zwischenmenschlichen Beziehungen in Verbindung mit den Pers\"onlichkeitseigenschaften der dunklen Tetrade besser zu verstehen.},
  file = {/home/aleksandar/Dropbox/Zotero/Carqueville/Carqueville_Dozentin.pdf},
  language = {de}
}

@article{carterUnderstandingJobSatisfaction2019,
  title = {Understanding Job Satisfaction in the Causal Attitude Network ({{CAN}}) Model},
  author = {Carter, Nathan T. and Lowery, Megan R. and Williamson Smith, Rachel and Conley, Katelyn M. and Harris, Alexandra M. and Listyg, Benjamin and Maupin, Cynthia K. and King, Rachel T. and Carter, Dorothy R.},
  year = {2019},
  pages = {No Pagination Specified-No Pagination Specified},
  publisher = {{American Psychological Association}},
  address = {{US}},
  issn = {1939-1854(Electronic),0021-9010(Print)},
  doi = {10.1037/apl0000469},
  abstract = {Job satisfaction researchers typically assume a tripartite model, suggesting evaluations of the job are explained by latent cognitive and affective factors. However, in the attitudes literature, connectionist theorists view attitudes as emergent structures resulting from the mutually reinforcing causal force of interacting cognitive evaluations. Recently, the causal attitudes network (CAN; Dalege et al., 2016) model was proposed as an integration of both these perspectives with network theory. Here, we describe the CAN model and its implications for understanding job satisfaction. We extend the existing literature by drawing from both attitude and network theory. Using multiple data sets and measures of job satisfaction, we test these ideas empirically. First, drawing on the functional approach to attitudes, we show the instrumental-symbolic distinction in attitude objects is evident in job satisfaction networks. Specifically, networks for more instrumental features (e.g., pay) show stable, high connectivity and form a single cluster, whereas networks regarding symbolic features (e.g., supervisor) increase in connectivity with exposure (i.e., job tenure) and form clusters based on valence and cognitive-affective distinction. We show these distinctions result in ``small-world'' networks for symbolic features wherein affective reactions are more central than cognitive reactions, consistent with the affective primacy hypothesis. We show the practical advantage of CAN by demonstrating in longitudinal data that items with high centrality are more likely to affect change throughout the attitude network, and that network models are better able to predict future voluntary turnover compared with structural equation models. Implications of this exciting new model for research and practice are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved)},
  journal = {Journal of Applied Psychology}
}

@article{carvalhoImpactInformationVoters,
  title = {The {{Impact}} of {{Information}} on {{Voters Perceptions}} and {{Electoral Behavior}}: {{A Randomized Controlled Experiment}}},
  author = {Carvalho, Bruno and Cust{\'o}dio, Cl{\'a}udia and Geys, Benny and Mendes, Diogo},
  pages = {74},
  abstract = {We study the impact of information about central government on voters' perception of government performance and subsequent voting behavior. We randomly expose voters to media articles with positive, neutral or negative information about government policy actions prior to the 2017 Portuguese local elections. We find that treated voters update their perceptions about the incumbent. This update is more pronounced among voters exposed to negative news (negativity bias), first-time voters, and individuals who report a lower interest in politics. We do not find evidence of an average treatment effect on voting behaviour. However, we find that, when exposed to negative information, initially undecided voters are more likely to cast a blank vote, to abstain or to vote for opposition parties. Overall, our findings suggest that voters' sensitivity to information is heterogeneous and depends on the level of education and political awareness.},
  file = {/home/aleksandar/Dropbox/Zotero/Carvalho et al/Carvalho et al_The Impact of Information on Voters Perceptions and Electoral Behavior.pdf},
  language = {en}
}

@article{casalbertoaThreeWavesParty2018,
  title = {The Three Waves of Party System Institutionalisation Studies: {{A}} Multi- or Uni-Dimensional Concept?},
  shorttitle = {The {{Three Waves}} of {{Party System Institutionalisation Studies}}},
  author = {Casal B{\'e}rtoa, Fernando},
  year = {2018},
  month = feb,
  volume = {16},
  pages = {60--72},
  issn = {1478-9299, 1478-9302},
  doi = {10.1177/1478929916677136},
  journal = {Political Studies Review},
  language = {en},
  number = {1}
}

@article{casalbertoaVolatilityVolatilityMeasuring2017,
  title = {The Volatility of Volatility: {{Measuring}} Change in Party Vote Shares},
  shorttitle = {The Volatility of Volatility},
  author = {Casal B{\'e}rtoa, Fernando and {Deegan-Krause}, Kevin and Haughton, Tim},
  year = {2017},
  month = dec,
  volume = {50},
  pages = {142--156},
  issn = {02613794},
  doi = {10.1016/j.electstud.2017.09.007},
  journal = {Electoral Studies},
  language = {en}
}

@article{casiraghiAnalyticalFormulationBlockConstrained,
  title = {Analytical {{Formulation}} of the {{Block}}-{{Constrained Configuration Model}}.},
  author = {Casiraghi, Giona},
  doi = {arXiv:1811.05337v1},
  abstract = {{$<$}p{$>$}We provide a novel family of generative block-models for random graphs that naturally incorporates degree distributions: the block-constrained configuration model. Block-constrained configuration models build on the generalised hypergeometric ensemble of random graphs and extend the well-known configuration model by enforcing block-constraints on the edge generation process. The resulting models are analytically tractable and practical to fit even to large networks. These models provide a new, flexible tool for the study of community structure and for network science in general, where modelling networks with heterogeneous degree distributions is of central importance. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{casiraghiAnalyticalFormulationBlockConstraineda,
  title = {Analytical {{Formulation}} of the {{Block}}-{{Constrained Configuration Model}}.},
  author = {Casiraghi, Giona},
  doi = {arXiv:1811.05337v1},
  abstract = {{$<$}p{$>$}We provide a novel family of generative block-models for random graphs that naturally incorporates degree distributions: the block-constrained configuration model. Block-constrained configuration models build on the generalised hypergeometric ensemble of random graphs and extend the well-known configuration model by enforcing block-constraints on the edge generation process. The resulting models are analytically tractable and practical to fit even to large networks. These models provide a new, flexible tool for the study of community structure and for network science in general, where modelling networks with heterogeneous degree distributions is of central importance. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{castellanoStatisticalPhysicsSocial2009a,
  title = {Statistical Physics of Social Dynamics},
  author = {Castellano, C. and Fortunato, S. and Loreto, V.},
  year = {2009},
  doi = {10.1103/RevModPhys.81.591},
  abstract = {Statistical physics has proven to be a fruitful framework to describe phenomena outside the realm of traditional physics. Recent years have witnessed an attempt by physicists to study collective phenomena emerging from the interactions of individuals as elementary units in social structures. A wide list of topics are reviewed ranging from opinion and cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, and social spreading. The connections between these problems and other, more traditional, topics of statistical physics are highlighted. Comparison of model results with empirical data from social systems are also emphasized.},
  file = {/home/aleksandar/Documents/Zotero/Castellano et al/Castellano et al_2009_Statistical physics of social dynamics.pdf}
}

@article{castellettiBayesianLearningMultiple,
  title = {Bayesian Learning of Multiple Directed Networks from Observational Data},
  author = {Castelletti, Federico and Rocca, Luca La and Peluso, Stefano and Stingo, Francesco C. and Consonni, Guido},
  volume = {n/a},
  issn = {1097-0258},
  doi = {10.1002/sim.8751},
  abstract = {Graphical modeling represents an established methodology for identifying complex dependencies in biological networks, as exemplified in the study of co-expression, gene regulatory, and protein interaction networks. The available observations often exhibit an intrinsic heterogeneity, which impacts on the network structure through the modification of specific pathways for distinct groups, such as disease subtypes. We propose to infer the resulting multiple graphs jointly in order to benefit from potential similarities across groups; on the other hand our modeling framework is able to accommodate group idiosyncrasies. We consider directed acyclic graphs (DAGs) as network structures, and develop a Bayesian method for structural learning of multiple DAGs. We explicitly account for Markov equivalence of DAGs, and propose a suitable prior on the collection of graph spaces that induces selective borrowing strength across groups. The resulting inference allows in particular to compute the posterior probability of edge inclusion, a useful summary for representing flow directions within the network. Finally, we detail a simulation study addressing the comparative performance of our method, and present an analysis of two protein networks together with a substantive interpretation of our findings.},
  annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8751},
  copyright = {\textcopyright{} 2020 John Wiley \& Sons Ltd},
  journal = {Statistics in Medicine},
  language = {en},
  number = {n/a}
}

@article{casteloReverseEngineeringMolecular2009,
  title = {Reverse Engineering Molecular Regulatory Networks from Microarray Data with Qp-Graphs},
  author = {Castelo, Robert and Roverato, Alberto},
  year = {2009},
  month = feb,
  volume = {16},
  pages = {213--227},
  issn = {1066-5277, 1557-8666},
  doi = {10.1089/cmb.2008.08TT},
  journal = {Journal of Computational Biology},
  language = {en},
  number = {2}
}

@inproceedings{ccdOpinionFormationModels2016,
  title = {Opinion Formation Models on Networks Based on Game Theory},
  author = {CCD, MMath},
  year = {2016},
  abstract = {Sociophysics is a field that studies social behaviour using theories and techniques from topics such as statistical physics. In particular, it has become fashionable to use Monte Carlo simulations to explain and predict sociological phenomena. The Deffuant model is a popular mathematical model in sociophysics. Each individual holds an opinion in a certain real interval, and the opinion distribution of the population evolves with sequential random pairwise encounters. A pair of interacting individuals update their opinions towards a compromise if and only if their opinions differ by less than a given threshold called `confidence bound'. Incorporating network structure allows one to take into account heterogeneity of interactions in a population. We study the Deffuant model on networks by considering different network structures and interaction mechanisms between pairs of individuals. In particular, we show how convergence time and the number of opinion groups at equilibrium are affected by network topology, confidence bound, the number of participating agents, and their willingness to change their minds. We use numerical simulations to explore the opinion dynamics of the Deffuant model on networks and conduct regression analysis to model observed phenomena. Acknowledgements I would like to thank my supervisors for their patient guidance and sage advice throughout this project. I am also grateful to Dr John D. Hunter and other contributors to the MATPLOTLIB library for Python.},
  file = {/home/aleksandar/Documents/Zotero/CCD/CCD_2016_Opinion formation models on networks based on game theory.pdf}
}

@misc{CEEOLArticleDetail,
  title = {{{CEEOL}} - {{Article Detail}}},
  file = {/home/aleksandar/Zotero/storage/436I29Z5/article-detail.html},
  howpublished = {https://www.ceeol.com/search/article-detail?id=692196}
}

@article{cerinaConvertingTwitterAPI,
  title = {Converting the {{Twitter API}} into an {{Online Panel}} via {{Human Intelligence}} to {{Measure Public Opinion}}},
  author = {Cerina, Roberto},
  pages = {17},
  file = {/home/aleksandar/Zotero/storage/D93ANHHE/Cerina - Converting the Twitter API into an Online Panel vi.pdf},
  language = {en}
}

@article{cerquetiTsallisEntropyCrossShareholding2020,
  title = {Tsallis {{Entropy}} for {{Cross}}-{{Shareholding Network Configurations}}},
  author = {Cerqueti, Roy and Rotundo, Giulia and Ausloos, Marcel},
  year = {2020},
  month = jun,
  volume = {22},
  pages = {676},
  issn = {1099-4300},
  doi = {10.3390/e22060676},
  abstract = {In this work, we develop the Tsallis entropy approach for examining the cross-shareholding network of companies traded on the Italian stock market. In such a network, the nodes represent the companies, and the links represent the ownership. Within this context, we introduce the out-degree of the nodes\textemdash which represents the diversification\textemdash and the in-degree of them\textemdash capturing the integration. Diversification and integration allow a clear description of the industrial structure that were formed by the considered companies. The stochastic dependence of diversification and integration is modeled through copulas. We argue that copulas are well suited for modelling the joint distribution. The analysis of the stochastic dependence between integration and diversification by means of the Tsallis entropy gives a crucial information on the reaction of the market structure to the external shocks\textemdash on the basis of some relevant cases of dependence between the considered variables. In this respect, the considered entropy framework provides insights on the relationship between in-degree and out-degree dependence structure and market polarisation or fairness. Moreover, the interpretation of the results in the light of the Tsallis entropy parameter gives relevant suggestions for policymakers who aim at shaping the industrial context for having high polarisation or fair joint distribution of diversification and integration. Furthermore, a discussion of possible parametrisations of the in-degree and out-degree marginal distribution\textemdash by means of power laws or exponential functions\textemdash{} is also carried out. An empirical experiment on a large dataset of Italian companies validates the theoretical framework.},
  file = {/home/aleksandar/Dropbox/Zotero/Cerqueti et al/Cerqueti et al_2020_Tsallis Entropy for Cross-Shareholding Network Configurations.pdf},
  journal = {Entropy},
  language = {en},
  number = {6}
}

@article{chacomaModelingBallPossession2020,
  title = {Modeling Ball Possession Dynamics in the Game of Football},
  author = {Chacoma, A. and Almeira, N. and Perotti, J. I. and Billoni, O. V.},
  year = {2020},
  month = oct,
  volume = {102},
  pages = {042120},
  publisher = {{American Physical Society}},
  doi = {10.1103/PhysRevE.102.042120},
  abstract = {In this paper, we study interaction dynamics in the game of football\textendash soccer in the context of ball possession intervals. To do so, we analyze a database comprising one season of the five major football leagues of Europe. Using this input, we developed a stochastic model based on three agents: two teammates and one defender. Despite its simplicity, the model is able to capture, in good approximation, the statistical behavior of possession times, pass lengths, and number of passes performed. In the last section, we show that the model's dynamics can be mapped into a Wiener process with drift and an absorbing barrier.},
  file = {/home/aleksandar/Zotero/storage/AK4KQIEZ/PhysRevE.102.html},
  journal = {Physical Review E},
  number = {4}
}

@article{chakravartyProbabilityRatioIndex2020,
  title = {On the Probability Ratio Index as a Measure of Electoral Competition},
  author = {Chakravarty, Satya R. and Mitra, Manipushpak and Mutuswami, Suresh and Pal, Rupayan},
  year = {2020},
  month = may,
  volume = {6},
  pages = {1--6},
  publisher = {{Palgrave}},
  issn = {2055-1045},
  doi = {10.1057/s41599-020-0466-8},
  abstract = {This paper deals with the fundamental issue of quantifying the degree of competitiveness underlying an election in a society. That is, given the vote shares of competing political parties in the election one needs to arrive at a representative metric of electoral competition. The vote share of a party represents its influence on the outcome of the election. A summary measure of differences of such influences across parties, aggregated in an unambiguous way, is an index of electoral competitiveness. The literature contains several such indices. Implicit under the choice of an index is a set of properties that the index satisfies. A highly attractive feature of the probability ratio index we suggest in this article, as a summary measure of electoral competition, is its suitability for making comparisons of competitiveness across elections with different number of parties. The probability ratio index is simply the ratio between the probabilities that the two voters drawn at random with (without) replacement have voted for different parties under actual vote shares across the competing parties and under equal vote shares across them. The comparability feature of the probability ratio index can be maintained without sacrificing any nice characteristic expected from an electoral competition measure. The probability ratio index is inversely related to the well-known Herfindahl\textendash Hirschman concentration index that indicates dominance of large parties, directly related to the fractionalization index, which indicates how vote shares are split among the parties, and also inversely related to the squared coefficient of variation, a highly popular measure of inequality. It is argued explicitly how the new index can be applied to measure competitiveness for true data. Simple examples are used to demonstrate why probability ratio index has a comparative advantage over some other well-known indices, particularly, in terms of cross-election comparability.},
  copyright = {2020 The Author(s)},
  journal = {Palgrave Communications},
  language = {en},
  number = {1}
}

@article{chalimourdasPsychometricPropertiesFactor2019,
  title = {Psychometric {{Properties}}, {{Factor Structure}}, and {{Evidence}} for {{Measurement Invariance}} in the {{Greek Version}} of the {{Disgust Scale}}-{{Revised}} ({{DS}}-{{R}})},
  author = {Chalimourdas, Theodoros and Vitoratou, Silia and Matsouka, Efstathia and Owens, Dimitra Anna and Kalogeraki, Leto and Mourikis, Iraklis and Vaidakis, Nikolaos and {Tzinieri-Kokkosi}, Maria and Pehlivanidis, Artemios and Papageorgiou, Charalambos},
  year = {2019},
  month = jun,
  volume = {7},
  pages = {33},
  doi = {10.3390/diseases7020033},
  abstract = {The Disgust Scale has been designed to measure disgust propensity\—the individual ease in experiencing disgust. The present study aimed to explore the validity, reliability, the factor structure, and the measurement invariance of the Greek version of the Disgust Scale-Revised (DS-R). A sample of 754 healthy participants completed the Greek version of the DS-R. A subset (n = 363) also completed the revised Symptom checked list and the Eysenck Personality Questionnaire, in order to examine the concurrent validity. Exploratory and Confirmatory factor analyses in different subsets were used to examine the factor structure. Multiple indicators\–multiple causes model (MIMIC) models were used to assess the measurement invariance across gender and age. Demographic influences were assessed using t-tests, ANOVA, and Pearson\’s correlations. Exploratory factor analysis concluded to two and three factor models, with a factor structure similar to the ones proposed in the literature. Confirmatory factor analysis and bi-factor analysis provided evidence in favor of the three-factor solution. Measurement invariance test revealed differences in six items across gender, and three items across age. The psychometric properties of the factors were satisfactory. Demographic influences on the responses were present, especially with respect to gender. The Greek version of the DS-R demonstrated satisfactory psychometric properties, making it suitable for use for the Greek population.},
  copyright = {http://creativecommons.org/licenses/by/3.0/},
  file = {/home/aleksandar/Zotero/storage/AH54CL8A/33.html},
  journal = {Diseases},
  language = {en},
  number = {2}
}

@techreport{chambonPsychologicalNetworkApproach2020,
  title = {A Psychological Network Approach to Factors Related to Preventive Behaviors during Pandemics: {{A European COVID}}-19 Study},
  shorttitle = {A Psychological Network Approach to Factors Related to Preventive Behaviors during Pandemics},
  author = {Chambon, Monique and Dalege, Jonas and Elberse, Janneke and {van Harreveld}, Frenk},
  year = {2020},
  month = jul,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/es45v},
  abstract = {Preventive behaviors are crucial in limiting the spread of COVID-19. Given the multifaceted nature of this pandemic, we adopted a complex psychological systems approach to obtain insight into the interplay and mutual dependence of factors related to adopting these behaviors, including attitudes, social norms, trust and health. We therefore conducted a survey study (n=1022) with subsamples from the United Kingdom (n=502) and Netherlands (n=520). The results highlight the importance of people's support for, and perceived efficacy of, the measures and preventive behaviors, and of the perceived norm of their family and friends adopting these behaviors. The relation of these factors with other factors in the network is also highlighted. Future research should study effects of interventions aimed at these factors, including effects on the network. Finally, while the networks in both countries were largely similar, we observed notable differences that are possibly reflections of the different trajectories of this pandemic.},
  file = {/home/aleksandar/Zotero/storage/QSML3I38/Chambon et al. - 2020 - A psychological network approach to factors relate.pdf},
  language = {en},
  type = {Preprint}
}

@article{chandrasekaranLatentVariableGraphical2012,
  title = {Latent Variable Graphical Model Selection via Convex Optimization},
  author = {Chandrasekaran, Venkat and Parrilo, Pablo A. and Willsky, Alan S.},
  year = {2012},
  month = aug,
  volume = {40},
  pages = {1935--1967},
  issn = {0090-5364},
  doi = {10.1214/11-AOS949},
  abstract = {Suppose we observe samples of a subset of a collection of random variables. No additional information is provided about the number of latent variables, nor of the relationship between the latent and observed variables. Is it possible to discover the number of latent components, and to learn a statistical model over the entire collection of variables? We address this question in the setting in which the latent and observed variables are jointly Gaussian, with the conditional statistics of the observed variables conditioned on the latent variables being specified by a graphical model. As a first step we give natural conditions under which such latent-variable Gaussian graphical models are identifiable given marginal statistics of only the observed variables. Essentially these conditions require that the conditional graphical model among the observed variables is sparse, while the effect of the latent variables is "spread out" over most of the observed variables. Next we propose a tractable convex program based on regularized maximum-likelihood for model selection in this latent-variable setting; the regularizer uses both the \$\textbackslash ell\_1\$ norm and the nuclear norm. Our modeling framework can be viewed as a combination of dimensionality reduction (to identify latent variables) and graphical modeling (to capture remaining statistical structure not attributable to the latent variables), and it consistently estimates both the number of latent components and the conditional graphical model structure among the observed variables. These results are applicable in the high-dimensional setting in which the number of latent/observed variables grows with the number of samples of the observed variables. The geometric properties of the algebraic varieties of sparse matrices and of low-rank matrices play an important role in our analysis.},
  archivePrefix = {arXiv},
  eprint = {1008.1290},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/2Q48M6VS/1008.html},
  journal = {The Annals of Statistics},
  number = {4}
}

@inproceedings{changOverlappingCommunityDetection2020,
  title = {An {{Overlapping Community Detection}} with {{Subspaces}} on {{Double}}-{{Views}}},
  booktitle = {Neural {{Information Processing}}},
  author = {Chang, Yang and Ma, Huifang and Su, Yun and Li, Zhixin},
  editor = {Yang, Haiqin and Pasupa, Kitsuchart and Leung, Andrew Chi-Sing and Kwok, James T. and Chan, Jonathan H. and King, Irwin},
  year = {2020},
  pages = {164--176},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-63833-7_14},
  abstract = {Community detection algorithms are the basic tools for discovering the internal structure and organizational principles of a community. Ranging from model-based and optimization-based methods, existing efforts typically consider two sources of information, i.e. network structure and node attributes, to obtain communities with both denser network structure and similar attribute information. We argue that an inherent drawback of such methods is that, different impacts of different sources, is ignored during the clustering process. Besides, some existing community detection algorithms typically consider two sources of information but they cannot automatically determine the relative importance between them to reveal subspaces. As such, the detected communities may be unsatisfactory.In this work, we propose to integrate subspace into a new overlapping community detection framework, an Overlapping Community Detection with Subspaces on Double-Views (CDDV), which exploits the relative importance between structures and attributes. This leads to a better detection result, effectively injecting subspaces to show the diversity of communities into the detection process in an explicit manner. We conduct extensive experiments on four public benchmarks, demonstrating significant improvements over several state-of-the-art models. Further analysis verifies the importance of subspace finding for capturing better communities, justifying the rationality and effectiveness of CDDV.},
  isbn = {978-3-030-63833-7},
  keywords = {Clustering,Double views,Overlapping community detection,Subspace},
  language = {en},
  series = {Lecture {{Notes}} in {{Computer Science}}}
}

@book{chanMarketingDeathCulture2012,
  title = {Marketing Death: Culture and the Making of a Life Insurance Market in {{China}}},
  shorttitle = {Marketing Death},
  author = {Chan, Cheris Shun-ching},
  year = {2012},
  publisher = {{Oxford University Press}},
  address = {{New York, N.Y}},
  abstract = {"Marketing Death is the first book to offer a penetrating sociological analysis of the emergence of a life insurance market outside of the Euro-American context. Drawing on rich ethnographic data, it documents the processes and micro-politics through which local cultures shape the way a market is formed and, hence, sheds light on the dynamics through which modern capitalist enterprises are diffused to regions with different cultural traditions."--Publisher's description},
  isbn = {978-0-19-539407-8},
  lccn = {HG9169 .C48 2012}
}

@article{charconMultiagentSystemPredict2020,
  title = {A Multi-Agent System to Predict the Outcome of a Two-Round Election},
  author = {Charcon, D. Y. and Monteiro, L. H. A.},
  year = {2020},
  month = dec,
  volume = {386},
  pages = {125481},
  issn = {0096-3003},
  doi = {10.1016/j.amc.2020.125481},
  abstract = {Here, an agent-based model is developed to forecast the outcome of a three-party election in a two-round voting system. The vote of each agent is determined from four variables related to economic indicators, quality of public services, ethical conduct of the current administration, and political profile of the voting population. In addition, each agent can be influenced by the opinion of the nearest neighbors. Numerical simulations are performed to investigate how these variables affect the elected candidate. The proposed model is also used to reproduce the presidential elections held in Brazil in 2010 and in Uruguay in 2019.},
  file = {/home/aleksandar/Zotero/storage/8HWUSANE/S0096300320304409.html},
  journal = {Applied Mathematics and Computation},
  language = {en}
}

@article{chatterjeeSimplifiedGameLife2020,
  title = {Simplified {{Game}} of {{Life}}: {{Algorithms}} and {{Complexity}}},
  shorttitle = {Simplified {{Game}} of {{Life}}},
  author = {Chatterjee, Krishnendu and {Ibsen-Jensen}, Rasmus and Jecker, Isma{\"e}l and Svoboda, Jakub},
  year = {2020},
  month = jul,
  abstract = {Game of Life is a simple and elegant model to study dynamical system over networks. The model consists of a graph where every vertex has one of two types, namely, dead or alive. A configuration is a mapping of the vertices to the types. An update rule describes how the type of a vertex is updated given the types of its neighbors. In every round, all vertices are updated synchronously, which leads to a configuration update. While in general, Game of Life allows a broad range of update rules, we focus on two simple families of update rules, namely, underpopulation and overpopulation, that model several interesting dynamics studied in the literature. In both settings, a dead vertex requires at least a desired number of live neighbors to become alive. For underpopulation (resp., overpopulation), a live vertex requires at least (resp. at most) a desired number of live neighbors to remain alive. We study the basic computation problems, e.g., configuration reachability, for these two families of rules. For underpopulation rules, we show that these problems can be solved in polynomial time, whereas for overpopulation rules they are PSPACE-complete.},
  archivePrefix = {arXiv},
  eprint = {2007.02894},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Chatterjee et al/Chatterjee et al_2020_Simplified Game of Life.pdf;/home/aleksandar/Zotero/storage/6RFAG39M/2007.html},
  journal = {arXiv:2007.02894 [nlin]},
  primaryClass = {nlin}
}

@article{chaturvediLearningGaussianGraphical2020,
  title = {Learning {{Gaussian Graphical Models}} via {{Multiplicative Weights}}},
  author = {Chaturvedi, Anamay and Scarlett, Jonathan},
  year = {2020},
  month = feb,
  abstract = {Graphical model selection in Markov random fields is a fundamental problem in statistics and machine learning. Two particularly prominent models, the Ising model and Gaussian model, have largely developed in parallel using different (though often related) techniques, and several practical algorithms with rigorous sample complexity bounds have been established for each. In this paper, we adapt a recently proposed algorithm of Klivans and Meka (FOCS, 2017), based on the method of multiplicative weight updates, from the Ising model to the Gaussian model, via non-trivial modifications to both the algorithm and its analysis. The algorithm enjoys a sample complexity bound that is qualitatively similar to others in the literature, has a low runtime O(mp2) in the case of m samples and p nodes, and can trivially be implemented in an online manner.},
  archivePrefix = {arXiv},
  eprint = {2002.08663},
  eprinttype = {arxiv},
  journal = {arXiv:2002.08663 [cs, math, stat]},
  language = {en},
  primaryClass = {cs, math, stat}
}

@article{chenDarkSidePolitics2020,
  title = {The {{Dark Side}} of {{Politics}}: {{Participation}} and the {{Dark Triad}}},
  shorttitle = {The {{Dark Side}} of {{Politics}}},
  author = {Chen, Philip and Pruysers, Scott and Blais, Julie},
  year = {2020},
  month = apr,
  pages = {0032321720911566},
  publisher = {{SAGE Publications Ltd}},
  issn = {0032-3217},
  doi = {10.1177/0032321720911566},
  abstract = {Personality traits are one piece in the larger puzzle of political participation, but most studies focus on the Five-Factor Model of personality. We argue that the normative implications of the influence of personality on politics are increased when the personality traits being studied correlate with negative social behaviors. We investigate the role of the Dark Triad on political participation as mediated through political beliefs such as interest and knowledge. We find that Psychopathy and Narcissism are positively associated with political interest, but Narcissism is also negatively associated with political knowledge. In addition, both Psychopathy and Narcissism exert a direct, positive influence on participation. Our results imply that individuals exhibiting higher levels of Narcissism are not only less knowledgeable but also more interested in politics and more likely to participate when given the opportunity.},
  journal = {Political Studies},
  language = {en}
}

@article{chenEstimationMethodsItem2020,
  title = {Estimation {{Methods}} for {{Item Factor Analysis}}: {{An Overview}}},
  shorttitle = {Estimation {{Methods}} for {{Item Factor Analysis}}},
  author = {Chen, Yunxiao and Zhang, Siliang},
  year = {2020},
  month = apr,
  abstract = {Item factor analysis (IFA) refers to the factor models and statistical inference procedures for analyzing multivariate categorical data. IFA techniques are commonly used in social and behavioral sciences for analyzing item-level response data. Such models summarize and interpret the dependence structure among a set of categorical variables by a small number of latent factors. In this chapter, we review the IFA modeling technique and commonly used IFA models. Then we discuss estimation methods for IFA models and their computation, with a focus on the situation where the sample size, the number of items, and the number of factors are all large. Existing statistical softwares for IFA are surveyed. This chapter is concluded with suggestions for practical applications of IFA methods and discussions of future directions.},
  archivePrefix = {arXiv},
  eprint = {2004.07579},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/4FF2BKPC/2004.html},
  journal = {arXiv:2004.07579 [stat]},
  primaryClass = {stat}
}

@article{chengCoronaNetCOVID19Government,
  title = {{{CoronaNet COVID}}-19 {{Government Response Event Dataset}}},
  author = {Cheng, Cindy and Barcel{\'o}, Joan and Hartnett, Allison Spencer and Kubinec, Robert and Messerschmidt, Luca},
  pages = {39},
  file = {/home/aleksandar/Dropbox/Zotero/Cheng et al/Cheng et al_CoronaNet COVID-19 Government Response Event Dataset.pdf},
  language = {en}
}

@techreport{chengCoronaNetDyadicDataset2020,
  title = {{{CoronaNet}}: {{A Dyadic Dataset}} of {{Government Responses}} to the {{COVID}}-19 {{Pandemic}}},
  shorttitle = {{{CoronaNet}}},
  author = {Cheng, Cindy and Barcelo, Joan and Hartnett, Allison and Kubinec, Robert and Messerschmidt, Luca},
  year = {2020},
  month = apr,
  institution = {{SocArXiv}},
  doi = {10.31235/osf.io/dkvxy},
  abstract = {As the COVID-19 pandemic spreads around the world, governments have implemented a broad set of policies to limit the spread of the pandemic. In this paper we present an initial release of a large hand-coded dataset of more than 4,500 separate policy announcements from governments around the world. This data is being made publicly available, in combination with other data that we have collected (including COVID-19 tests, cases, and deaths) as well as a number of country-level covariates. Due to the speed of the COVID-19 outbreak, we will be releasing this data on a daily basis with a 5-day lag for record validity checking. In a truly global effort, our team is comprised of more than 190 research assistants across 18 time zones and makes use of cloud-based managerial and data collection technology in addition to machine learning coding of news sources. We analyze the dataset with a Bayesian time-varying ideal point model showing the quick acceleration of more harsh policies across countries beginning in mid-March and continuing to the present. While some relatively low-cost policies like task forces and health monitoring began early, countries generally adopted more harsh measures within a narrow time window, suggesting strong policy diffusion effects.},
  language = {en},
  type = {Preprint}
}

@article{chengModelReductionMethods2021,
  title = {Model {{Reduction Methods}} for {{Complex Network Systems}}},
  author = {Cheng, X. and Scherpen, J.M.A.},
  year = {2021},
  volume = {4},
  pages = {null},
  doi = {10.1146/annurev-control-061820-083817},
  abstract = {Network systems consist of subsystems and their interconnections and provide a powerful framework for the analysis, modeling, and control of complex systems. However, subsystems may have high-dimensional dynamics and a large number of complex interconnections, and it is therefore relevant to study reduction methods for network systems. Here, we provide an overview of reduction methods for both the topological (interconnection) structure of a network and the dynamics of the nodes while preserving structural properties of the network. We first review topological complexity reduction methods based on graph clustering and aggregation, producing a reduced-order network model. Next, we consider reduction of the nodal dynamics using extensions of classical methods while preserving the stability and synchronization properties. Finally, we present a structure-preserving generalized balancing method for simultaneously simplifying the topological structure and the order of the nodal dynamics. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 4 is May 3, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.},
  annotation = {\_eprint: https://doi.org/10.1146/annurev-control-061820-083817},
  journal = {Annual Review of Control, Robotics, and Autonomous Systems},
  number = {1}
}

@misc{chenMiningNegativeComment2020,
  title = {Mining {{Negative Comment Data}} of {{Microblog Based}} on {{Merge}}-{{AP}}},
  author = {Chen, Zhijun and Jin, Weijian and Mu, Shibiao},
  year = {2020},
  month = may,
  volume = {2020},
  pages = {e9723780},
  publisher = {{Hindawi}},
  issn = {1024-123X},
  doi = {10.1155/2020/9723780},
  abstract = {A new depiction method based on the merge-AP algorithm is proposed to effectively improve the mining accuracy of negative comment data on microblog. In this method, we first employ the AP algorithm to analyze negative comment data on microblog and calculate the similarity value and the similarity matrix of data points by Euclidean distance. Then, we introduce the distance-based merge process to solve the problem of poor clustering effect of the AP algorithm for datasets with the complex clustering structure. Finally, we compare and analyze the performance of K-means, AP, and merge-AP algorithms by collecting the actual microblog data for algorithm evaluation. The results show that the merge-AP algorithm has good adaptability.},
  file = {/home/aleksandar/Documents/Zotero/Chen et al/Chen et al_2020_Mining Negative Comment Data of Microblog Based on Merge-AP.pdf;/home/aleksandar/Dropbox/research/papers/chenMiningNegativeComment2020-zotero.md;/home/aleksandar/Dropbox/research/papers/chenMiningNegativeComment2020.md},
  howpublished = {https://www.hindawi.com/journals/mpe/2020/9723780/},
  journal = {Mathematical Problems in Engineering},
  language = {en},
  type = {Research {{Article}}}
}

@article{chenModelingDynamicsSocial,
  title = {Modeling {{Dynamics}} of {{Social Network}} and {{Opinion}} at {{Individual Level}}.},
  author = {Chen, Xi and Tang, Jie and Sun, Yizhou},
  doi = {arXiv:1811.02791v2},
  abstract = {{$<$}p{$>$}Network dynamics has always been a meaningful topic deserving exploration in the realm of academy. previous network models contain two parts: (1) generating structure as per user property; (2) changing property as per network structure. Properties in these models, however, cannot be interpreted to concept in prevalent social theories or empirical truth. Also, they usually treat everyone in an uniform fashion. While such assumption is quite misguiding, and thus saliently limits their performance. To overcome these flaws, we devise a personalized evolving model for social network and opinion (PENO), where citizens' ideology is revealed by variable opinions and four dimensions of personality are considered for each entity - leadership, openness, agreeableness, and neuroticism. Opinion propagates via social tie, tie generates from opinion affinity, and personalities integrally work with opinion and tie across evolution. To our best knowledge, PENO is the first attempt to introduce personality impact in network dynamics and verify social science with reasonable visualization during simulation. We also present its probabilistic graph and conceive iterative learning algorithm. Experiments show PENO outperforms several state-of-the-art baselines over two typical prediction tasks - congress voting prediction for legislative bills and friendship prediction on a book-commenting website. Finally, we discuss its scalability to do multi-task learning and transfer learning in daily scenarios. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{chenModelingDynamicsSociala,
  title = {Modeling {{Dynamics}} of {{Social Network}} and {{Opinion}} at {{Individual Level}}.},
  author = {Chen, Xi and Tang, Jie and Sun, Yizhou},
  doi = {arXiv:1811.02791v2},
  abstract = {{$<$}p{$>$}Network dynamics has always been a meaningful topic deserving exploration in the realm of academy. previous network models contain two parts: (1) generating structure as per user property; (2) changing property as per network structure. Properties in these models, however, cannot be interpreted to concept in prevalent social theories or empirical truth. Also, they usually treat everyone in an uniform fashion. While such assumption is quite misguiding, and thus saliently limits their performance. To overcome these flaws, we devise a personalized evolving model for social network and opinion (PENO), where citizens' ideology is revealed by variable opinions and four dimensions of personality are considered for each entity - leadership, openness, agreeableness, and neuroticism. Opinion propagates via social tie, tie generates from opinion affinity, and personalities integrally work with opinion and tie across evolution. To our best knowledge, PENO is the first attempt to introduce personality impact in network dynamics and verify social science with reasonable visualization during simulation. We also present its probabilistic graph and conceive iterative learning algorithm. Experiments show PENO outperforms several state-of-the-art baselines over two typical prediction tasks - congress voting prediction for legislative bills and friendship prediction on a book-commenting website. Finally, we discuss its scalability to do multi-task learning and transfer learning in daily scenarios. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{chenNetworkBasedTrustGames2015,
  title = {Network-{{Based Trust Games}}: {{An Agent}}-{{Based Model}}},
  shorttitle = {Network-{{Based Trust Games}}},
  author = {Chen, Shu-Heng and Chie, Bin-Tzong and Zhang, Tong},
  year = {2015},
  volume = {18},
  pages = {5},
  issn = {1460-7425},
  file = {/home/aleksandar/Dropbox/Zotero/Chen et al/Chen et al_2015_Network-Based Trust Games.pdf;/home/aleksandar/Zotero/storage/UXDJCGMF/5.html},
  journal = {Journal of Artificial Societies and Social Simulation},
  number = {3}
}

@article{chenNonMarkovianMajorityVoteModel2020,
  title = {Non-{{Markovian Majority}}-{{Vote}} Model},
  author = {Chen, Hanshuang and Wang, Shuang and Shen, Chuansheng and Zhang, Haifeng and Bianconi, Ginestra},
  year = {2020},
  month = aug,
  abstract = {Non-Markovian dynamics pervades human activity and social networks and it induces memory effects and burstiness in a wide range of processes including inter-event time distributions, duration of interactions in temporal networks and human mobility. Here we propose a non-Markovian Majority-Vote model (NMMV) that introduces non-Markovian effects in the standard (Markovian) Majority-Vote model (SMV). The SMV model is one of the simplest two-state stochastic models for studying opinion dynamics, and displays a continuous order-disorder phase transition at a critical noise. In the NMMV model we assume that the probability that an agent changes state is not only dependent on the majority state of his neighbors but it also depends on his \{\textbackslash em age\}, i.e. how long the agent has been in his current state. The NMMV model has two regimes: the aging regime implies that the probability that an agent changes state is decreasing with his age, while in the anti-aging regime the probability that an agent changes state is increasing with his age. Interestingly, we find that the critical noise at which we observe the order-disorder phase transition is a non-monotonic function of the rate \$\textbackslash beta\$ of the aging (anti-aging) process. In particular the critical noise in the aging regime displays a maximum as a function of \$\textbackslash beta\$ while in the anti-aging regime displays a minimum. This implies that the aging/anti-aging dynamics can retard/anticipate the transition and that there is an optimal rate \$\textbackslash beta\$ for maximally perturbing the value of the critical noise. The analytical results obtained in the framework of the heterogeneous mean-field approach are validated by extensive numerical simulations on a large variety of network topologies.},
  archivePrefix = {arXiv},
  eprint = {2008.05634},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Chen et al/Chen et al_2020_Non-Markovian Majority-Vote model.pdf;/home/aleksandar/Zotero/storage/X76GF9US/2008.html},
  journal = {arXiv:2008.05634 [cond-mat, physics:physics]},
  primaryClass = {cond-mat, physics:physics}
}

@article{chenNovelCentralityFinding2020,
  title = {A {{Novel Centrality}} for {{Finding Key Persons}} in a {{Social Network}} by the {{Bi}}-{{Directional Influence Map}}},
  author = {Chen, Chin-Yi and Huang, Jih-Jeng},
  year = {2020},
  pages = {18},
  abstract = {Symmetry is one of the important properties of Social networks to indicate the co-existence relationship between two persons, e.g., friendship or kinship. Centrality is an index to measure the importance of vertices/persons within a social network. Many kinds of centr

license: MIT

repository: atomashevic/website-at

license_type: permissive

repo_name: atomashevic/website-at

branch_name: refs/heads/master

extension: bib