text:
been proposed for constructing and calculating trust. However, two common shortcomings make them less practical, especially in large OSNs: the information used to construct trust is (1) usually too complicated to get or maintain, that is, it is resource consuming; and (2) usually subjective and changeable, which makes it vulnerable to vicious nodes. With those problems in mind, we focus on generating small trusted graphs for large OSNs, which can be used to make previous trust evaluation algorithms more efficient and practical. We show how to preprocess a social network (PSN) by developing a simple and practical user-domain-based trusted acquaintance chain discovery algorithm through using the small-world network characteristics of online social networks and taking advantage of ''weak ties''. Then, we present how to build a trust network (BTN) and generate a trusted graph (GTG) with the adjustable width breadth-first search algorithms. To validate the effectiveness of our work and to evaluate the quality of the generated trusted graph, we conduct many experiments with the real data set from Epinions.com. Our work is the first that focuses on generating small trusted graphs for large online social networks, and we explore the stable and objective information (such as domain) for inferring trust.},
  journal = {Future Gener. Comput. Syst.}
}

@misc{jiangUnderstandingGraphBasedTrust2016,
  title = {Understanding {{Graph}}-{{Based Trust Evaluation}} in {{Online Social Networks}}: {{Methodologies}} and {{Challenges}}},
  shorttitle = {Understanding {{Graph}}-{{Based Trust Evaluation}} in {{Online Social Networks}}},
  author = {Jiang, Wenjun and Wang, G. and Bhuiyan, M. and Wu, J.},
  year = {2016},
  abstract = {Massive trust assessment (MTA) in an Online Social Network (OSN), i.e., computing the trustworthiness of all users in the network, is crucial in various OSN-related applications. Existing solutions are either too slow or inaccurate in addressing the MTA problem. We propose the OpinionWalk algorithm that accurately and efficiently conducts MTA in an OSN. OpinionWalk models trust by the Dirichlet distribution and uses a matrix to represent the direct trust relations among users. From the perspective of a user, other users\&\#39; trustworthiness are stored in a column vector that is iteratively updated when the algorithm ``walks'' through the network, in a breadth-first search manner. We identify the overlapping subproblems property in MTA and prove OpinionWalk is a more efficient solution. The accuracy and execution time of OpinionWalk are evaluated and compared to benchmark algorithms including EigenTrust, TrustRank, MoleTrust, TidalTrust and AssessTrust, using two real-world datasets (Advogato and Pretty Good Privacy). Experimental results indicate that OpinionWalk is an efficient and accurate solution to MTA, compared to previous algorithms.},
  howpublished = {/paper/OpinionWalk\%3A-An-efficient-solution-to-massive-trust-Liu-Chen/4e00479ce7efb4abc600ff34ab7659a82e66e309},
  journal = {undefined},
  language = {en}
}

@article{jiangUnderstandingGraphBasedTrust2016a,
  title = {Understanding {{Graph}}-{{Based Trust Evaluation}} in {{Online Social Networks}}: {{Methodologies}} and {{Challenges}}},
  shorttitle = {Understanding {{Graph}}-{{Based Trust Evaluation}} in {{Online Social Networks}}},
  author = {Jiang, Wenjun and Wang, G. and Bhuiyan, M. and Wu, J.},
  year = {2016},
  doi = {10.1145/2906151},
  abstract = {Online Social Networks (OSNs) are becoming a popular method of meeting people and keeping in touch with friends. OSNs resort to trust evaluation models and algorithms to improve service quality and enhance user experiences. Much research has been done to evaluate trust and predict the trustworthiness of a target, usually from the view of a source. Graph-based approaches make up a major portion of the existing works, in which the trust value is calculated through a trusted graph (or trusted network, web of trust, or multiple trust chains). In this article, we focus on graph-based trust evaluation models in OSNs, particularly in the computer science literature. We first summarize the features of OSNs and the properties of trust. Then we comparatively review two categories of graph-simplification-based and graph-analogy-based approaches and discuss their individual problems and challenges. We also analyze the common challenges of all graph-based models. To provide an integrated view of trust evaluation, we conduct a brief review of its pre- and postprocesses (i.e., the preparation and validation of trust models, including information collection, performance evaluation, and related applications). Finally, we identify some open challenges that all trust models are facing.},
  journal = {CSUR}
}

@techreport{jimenezWhenPeoplePrefer2020,
  title = {When {{Do People Prefer Dominant}} over {{Prestigious Political Leaders}}?},
  author = {Jim{\'e}nez, {\'A}ngel V. and Flitton, Adam and Mesoudi, Alex},
  year = {2020},
  month = jan,
  institution = {{Open Science Framework}},
  doi = {10.31219/osf.io/68zca},
  abstract = {Previous research has sought to explain the rise of right-wing populist leaders in terms of the evolutionary framework of dominance and prestige. In this framework, dominance is defined as high social rank acquired via coercion and fear, and prestige is defined as high social rank acquired via competence and admiration. Previous studies have shown that right-wing populist leaders are rated as more dominant than non-populist leaders, and right-wing populist / dominant leaders are favoured in times of economic uncertainty and intergroup conflict. In this paper we explore and critique this application of dominance-prestige to politics. First, we argue that the dominance-prestige framework, originally developed to explain inter-personal relationships within small-scale societies characterised by face-to-face interaction, does not straightforwardly extend to large-scale democratic societies which have frequent anonymous interaction and complex ingroup-outgroup dynamics. Second, we show that economic uncertainty and intergroup conflict predict not only preference for dominant leaders, but also prestigious leaders. Third, we show that perceptions of leaders as dominant or prestigious are not fixed, and depend on the political ideology of the perceiver: people view leaders who share their ideology as prestigious, and who oppose their ideology as dominant, whether that ideology is liberal or conservative. Fourth, we show that political ideology is a stronger predictor than economic uncertainty of preference for Donald Trump vs Hillary Clinton in the 2016 US Presidential Election, contradicting previous findings that link Trump's success to economic uncertainty. We conclude by suggesting that, if economic uncertainty does not directly affect preferences for right-wing populist leaders, other features of their discourse such as higher emotionality might explain their success.},
  language = {en},
  type = {Preprint}
}

@techreport{jimenezWhenPeoplePrefer2020a,
  title = {When {{Do People Prefer Dominant}} over {{Prestigious Political Leaders}}?},
  author = {Jim{\'e}nez, {\'A}ngel V. and Flitton, Adam and Mesoudi, Alex},
  year = {2020},
  month = jan,
  institution = {{Open Science Framework}},
  doi = {10.31219/osf.io/68zca},
  abstract = {Previous research has sought to explain the rise of right-wing populist leaders in terms of the evolutionary framework of dominance and prestige. In this framework, dominance is defined as high social rank acquired via coercion and fear, and prestige is defined as high social rank acquired via competence and admiration. Previous studies have shown that right-wing populist leaders are rated as more dominant than non-populist leaders, and right-wing populist / dominant leaders are favoured in times of economic uncertainty and intergroup conflict. In this paper we explore and critique this application of dominance-prestige to politics. First, we argue that the dominance-prestige framework, originally developed to explain inter-personal relationships within small-scale societies characterised by face-to-face interaction, does not straightforwardly extend to large-scale democratic societies which have frequent anonymous interaction and complex ingroup-outgroup dynamics. Second, we show that economic uncertainty and intergroup conflict predict not only preference for dominant leaders, but also prestigious leaders. Third, we show that perceptions of leaders as dominant or prestigious are not fixed, and depend on the political ideology of the perceiver: people view leaders who share their ideology as prestigious, and who oppose their ideology as dominant, whether that ideology is liberal or conservative. Fourth, we show that political ideology is a stronger predictor than economic uncertainty of preference for Donald Trump vs Hillary Clinton in the 2016 US Presidential Election, contradicting previous findings that link Trump's success to economic uncertainty. We conclude by suggesting that, if economic uncertainty does not directly affect preferences for right-wing populist leaders, other features of their discourse such as higher emotionality might explain their success.},
  file = {/home/aleksandar/Dropbox/Zotero/Jiménez et al/Jiménez et al_2020_When Do People Prefer Dominant over Prestigious Political Leaders2.pdf},
  language = {en},
  type = {Preprint}
}

@article{jinEstimatingNumberCommunities2020,
  title = {Estimating the Number of Communities by {{Stepwise Goodness}}-of-Fit},
  author = {Jin, Jiashun and Ke, Zheng Tracy and Luo, Shengming and Wang, Minzhe},
  year = {2020},
  month = sep,
  abstract = {Given a symmetric network with \$n\$ nodes, how to estimate the number of communities \$K\$ is a fundamental problem. We propose Stepwise Goodness-of-Fit (StGoF) as a new approach to estimating \$K\$. For \$m = 1, 2, \textbackslash ldots\$, StGoF alternately uses a community detection step (pretending \$m\$ is the correct number of communities) and a goodness-of-fit step. We use SCORE \textbackslash cite\{SCORE\} for community detection, and propose a new goodness-of-fit measure. Denote the goodness-of-fit statistic in step \$m\$ by \$\textbackslash psi\_n\^\{(m)\}\$. We show that as \$n \textbackslash rightarrow \textbackslash infty\$, \$\textbackslash psi\_n\^\{(m)\} \textbackslash rightarrow N(0,1)\$ when \$m = K\$ and \$\textbackslash psi\_n\^\{(m)\} \textbackslash rightarrow \textbackslash infty\$ in probability when \$m {$<$} K\$. Therefore, with a proper threshold, StGoF terminates at \$m = K\$ as desired. We consider a broad setting where we allow severe degree heterogeneity, a wide range of sparsity, and especially weak signals. In particular, we propose a measure for signal-to-noise ratio (SNR) and show that there is a phase transition: when \$\textbackslash mathrm\{SNR\} \textbackslash rightarrow 0\$ as \$n \textbackslash rightarrow \textbackslash infty\$, consistent estimates for \$K\$ do not exist, and when \$\textbackslash mathrm\{SNR\} \textbackslash rightarrow \textbackslash infty\$, StGoF is consistent, uniformly for a broad class of settings. In this sense, StGoF achieves the optimal phase transition. Stepwise testing algorithms of similar kind (e.g., \textbackslash cite\{wang2017likelihood, ma2018determining\}) are known to face analytical challenges. We overcome the challenges by using a different design in the stepwise algorithm and by deriving sharp results in the under-fitting case \$(m {$<$} K)\$ and the null case (\$m = K\$). The key to our analysis is to show that SCORE has the \{\textbackslash it Non-Splitting Property (NSP)\}. The NSP is non-obvious, so additional to rigorous proofs, we also provide an intuitive explanation.},
  archivePrefix = {arXiv},
  eprint = {2009.09177},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Jin et al/Jin et al_2020_Estimating the number of communities by Stepwise Goodness-of-fit.pdf;/home/aleksandar/Zotero/storage/KPTIHS3Y/2009.html},
  journal = {arXiv:2009.09177 [math, stat]},
  primaryClass = {math, stat}
}

@book{johnsonAdvancesComparativeSurvey2018,
  title = {Advances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts ({{3MC}})},
  shorttitle = {Advances in Comparative Survey Methods},
  editor = {Johnson, Timothy P.},
  year = {2018},
  publisher = {{John Wiley \& Sons, Inc}},
  address = {{Hoboken, NJ}},
  isbn = {978-1-118-88496-6 978-1-118-88501-7},
  language = {en},
  lccn = {HM538},
  series = {Wiley Series in Survey Methodology}
}

@article{johnstonHowDifferentAre2020,
  title = {How Different Are Cultural and Economic Ideology?},
  author = {Johnston, Christopher D. and Ollerenshaw, Trent},
  year = {2020},
  volume = {34},
  pages = {94--101},
  publisher = {{Elsevier}},
  journal = {Current Opinion in Behavioral Sciences}
}

@article{johnstonSpatialContinuityIndividual1983,
  title = {Spatial Continuity and Individual Variability: {{A}} Review of Recent Work on the Geography of Electoral Change},
  shorttitle = {Spatial Continuity and Individual Variability},
  author = {Johnston, R.J.},
  year = {1983},
  month = apr,
  volume = {2},
  pages = {53--68},
  issn = {02613794},
  doi = {10.1016/0261-3794(83)90106-3},
  journal = {Electoral Studies},
  language = {en},
  number = {1}
}

@article{jokicLinearProcessesComplex2020,
  title = {Linear Processes on Complex Networks},
  author = {Joki{\'c}, Ivan and Van Mieghem, Piet},
  year = {2020},
  month = oct,
  volume = {8},
  publisher = {{Oxford Academic}},
  doi = {10.1093/comnet/cnaa030},
  abstract = {Abstract. This article studies the dynamics of complex networks with a time-invariant underlying topology, composed of nodes with linear internal dynamics and l},
  file = {/home/aleksandar/Zotero/storage/J54CS6SI/5937087.html},
  journal = {Journal of Complex Networks},
  language = {en},
  number = {4}
}

@article{jonesBridgeCentralityNetwork,
  title = {Bridge {{Centrality}}: {{A Network Approach}} to {{Understanding Comorbidity}}},
  author = {Jones, Payton J. and Ma, Ruofan and McNally, Richard J.},
  doi = {10.1080/00273171.2019.1614898},
  abstract = {Recently, researchers in clinical psychology have endeavored to create network models of the relationships between symptoms, both within and across mental disorders. Symptoms that connect two mental disorders are called "bridge symptoms." Unfortunately, no formal quantitative methods for identifying these bridge symptoms exist. Accordingly, we developed four network statistics to identify bridge symptoms: \emph{bridge strength}, \emph{bridge betweenness, bridge closeness}, and \emph{bridge expected influence}. These statistics are nonspecific to the type of network estimated, making them potentially useful in individual-level psychometric networks, group-level psychometric networks, and networks outside the field of psychopathology such as social networks. We first tested the fidelity of our statistics in predicting bridge nodes in a series of simulations. Averaged across all conditions, the statistics achieved a sensitivity of 92.7\% and a specificity of 84.9\%. By simulating datasets of varying sample sizes, we tested the robustness of our statistics, confirming their suitability for network psychometrics. Furthermore, we simulated the contagion of one mental disorder to another, showing that deactivating bridge nodes prevents the spread of comorbidity (i.e., one disorder activating another). Eliminating nodes based on bridge statistics was more effective than eliminating nodes high on traditional centrality statistics in preventing comorbidity. Finally, we applied our algorithms to 18 group-level empirical comorbidity networks from published studies and discussed the implications of this analysis.},
  journal = {Multivariate Behavioral Research}
}

@article{jonesBridgeCentralityNetwork2019,
  title = {Bridge {{Centrality}}: {{A Network Approach}} to {{Understanding Comorbidity}}},
  shorttitle = {Bridge {{Centrality}}},
  author = {Jones, Payton J. and Ma, Ruofan and McNally, Richard J.},
  year = {2019},
  month = jun,
  pages = {1--15},
  issn = {0027-3171, 1532-7906},
  doi = {10.1080/00273171.2019.1614898},
  journal = {Multivariate Behavioral Research},
  language = {en}
}

@article{jonesBridgeCentralityNetworka,
  title = {Bridge {{Centrality}}: {{A Network Approach}} to {{Understanding Comorbidity}}},
  author = {Jones, Payton J. and Ma, Ruofan and McNally, Richard J.},
  doi = {10.1080/00273171.2019.1614898},
  abstract = {Recently, researchers in clinical psychology have endeavored to create network models of the relationships between symptoms, both within and across mental disorders. Symptoms that connect two mental disorders are called "bridge symptoms." Unfortunately, no formal quantitative methods for identifying these bridge symptoms exist. Accordingly, we developed four network statistics to identify bridge symptoms: \emph{bridge strength}, \emph{bridge betweenness, bridge closeness}, and \emph{bridge expected influence}. These statistics are nonspecific to the type of network estimated, making them potentially useful in individual-level psychometric networks, group-level psychometric networks, and networks outside the field of psychopathology such as social networks. We first tested the fidelity of our statistics in predicting bridge nodes in a series of simulations. Averaged across all conditions, the statistics achieved a sensitivity of 92.7\% and a specificity of 84.9\%. By simulating datasets of varying sample sizes, we tested the robustness of our statistics, confirming their suitability for network psychometrics. Furthermore, we simulated the contagion of one mental disorder to another, showing that deactivating bridge nodes prevents the spread of comorbidity (i.e., one disorder activating another). Eliminating nodes based on bridge statistics was more effective than eliminating nodes high on traditional centrality statistics in preventing comorbidity. Finally, we applied our algorithms to 18 group-level empirical comorbidity networks from published studies and discussed the implications of this analysis.},
  journal = {Multivariate Behavioral Research}
}

@article{jonesNationalizationPartiesParty2003,
  title = {The Nationalization of Parties and Party Systems: {{An}} Empirical Measure and an Application to the {{Americas}}},
  shorttitle = {The {{Nationalization}} of {{Parties}} and {{Party Systems}}},
  author = {Jones, Mark P. and Mainwaring, Scott},
  year = {2003},
  month = mar,
  volume = {9},
  pages = {139--166},
  issn = {1354-0688, 1460-3683},
  doi = {10.1177/13540688030092002},
  journal = {Party Politics},
  language = {en},
  number = {2}
}

@article{jonesNetworkTreesMethod2020,
  title = {Network {{Trees}}: {{A Method}} for {{Recursively Partitioning Covariance Structures}}},
  shorttitle = {Network {{Trees}}},
  author = {Jones, Payton J. and Mair, Patrick and Simon, Thorsten and Zeileis, Achim},
  year = {2020},
  month = nov,
  issn = {1860-0980},
  doi = {10.1007/s11336-020-09731-4},
  abstract = {In many areas of psychology, correlation-based network approaches (i.e., psychometric networks) have become a popular tool. In this paper, we propose an approach that recursively splits the sample based on covariates in order to detect significant differences in the structure of the covariance or correlation matrix. Psychometric networks or other correlation-based models (e.g., factor models) can be subsequently estimated from the resultant splits. We adapt model-based recursive partitioning and conditional inference tree approaches for finding covariate splits in a recursive manner. The empirical power of these approaches is studied in several simulation conditions. Examples are given using real-life data from personality and clinical research.},
  file = {/home/aleksandar/Documents/Zotero/Jones et al/Jones et al_2020_Network Trees.pdf},
  journal = {Psychometrika},
  language = {en}
}

@article{jonesVisualizingPsychologicalNetworks2018,
  title = {Visualizing {{Psychological Networks}}: {{A Tutorial}} in {{R}}},
  author = {Jones, Payton J and Mair, Patrick and McNally, Richard J},
  year = {2018},
  month = sep,
  volume = {9},
  pages = {1742--1742},
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2018.01742},
  abstract = {Networks have emerged as a popular method for studying mental disorders. Psychopathology networks consist of aspects (e.g., symptoms) of mental disorders (nodes) and the connections between those aspects (edges). Unfortunately, the visual presentation of networks can occasionally be misleading. For instance, researchers may be tempted to conclude that nodes that appear close together are highly related, and that nodes that are far apart are less related. Yet this is not always the case. In networks plotted with force-directed algorithms, the most popular approach, the spatial arrangement of nodes is not easily interpretable. However, other plotting approaches can render node positioning interpretable. We provide a brief tutorial on several methods including multidimensional scaling, principal components plotting, and eigenmodel networks. We compare the strengths and weaknesses of each method, noting how to properly interpret each type of plotting approach.},
  journal = {Frontiers in psychology}
}

@article{jooOutSyncOutundefined/ed,
  title = {Out of Sync, out of Society: {{Political}} Beliefs and Social Networks},
  shorttitle = {Out of Sync, out of Society},
  author = {Joo, Won-tak and Fletcher, Jason},
  year = {undefined/ed},
  pages = {1--24},
  publisher = {{Cambridge University Press}},
  issn = {2050-1242, 2050-1250},
  doi = {10.1017/nws.2020.2},
  abstract = {Who is more likely to be isolated from society in terms of political beliefs? To answer this question, we measure whether individuals' beliefs are ``out of sync''\textemdash the extent to which their views differ with their contemporaries\textemdash and examine how the level of synchronization is associated with the size of important-matter and political-matter discussion networks. The results show that people with weaker belief synchronization are more likely to have smaller important-matter discussion networks. However, additional analyses of political-matter discussion networks show that weaker belief synchronization is associated with smaller networks only among those without a high school diploma and even provides some advantage in maintaining larger networks for the college-educated. Overall, the results imply that political beliefs that are ``out of sync'' correspond to the individual being ``out of society,'' whereas the aspects of ``out of society'' are quite different among educational groups.},
  file = {/home/aleksandar/Dropbox/Zotero/Joo_Fletcher/Joo_Fletcher_undefineded_Out of sync, out of society.pdf},
  journal = {Network Science},
  language = {en}
}

@article{jordanFerromagnetsElectoralInstability2020,
  title = {From Ferromagnets to Electoral Instability},
  author = {Jordan, Soren},
  year = {2020},
  month = jan,
  pages = {1--2},
  issn = {1745-2481},
  doi = {10.1038/s41567-019-0761-8},
  abstract = {An electoral model predicts that polarized and alienated voters lead to unstable elections, like phase transitions in an Ising model. Such physics-inspired models may help political scientists devise electoral reforms to quench instability.},
  copyright = {2020 Springer Nature Limited},
  file = {/home/aleksandar/Dropbox/Zotero/Jordan/Jordan_2020_From ferromagnets to electoral instability.pdf},
  journal = {Nature Physics},
  language = {en}
}

@article{josangTrustNetworkAnalysis,
  title = {Trust {{Network Analysis}} with {{Subjective Logic}}},
  author = {J{\o}sang, Audun and Hayward, Ross and Pope, Simon},
  pages = {11},
  abstract = {Trust networks consist of transitive trust relationships between people, organisations and software agents connected through a medium for communication and interaction. By formalising trust relationships, e.g. as reputation scores or as subjective trust measures, trust between parties within the community can be derived by analysing the trust paths linking the parties together. This article describes a method for trust network analysis using subjective logic (TNA-SL). It provides a simple notation for expressing transitive trust relationships, and defines a method for simplifying complex trust networks so that they can be expressed in a concise form and be computationally analysed. Trust measures are expressed as beliefs, and subjective logic is used to compute trust between arbitrary parties in the network. We show that TNA-SL is efficient, and illustrate possible applications with examples.},
  file = {/home/aleksandar/Zotero/storage/HVPWFUUJ/Jøsang et al. - Trust Network Analysis with Subjective Logic.pdf},
  language = {en}
}

@article{jostDecadeSystemJustification2004,
  title = {A {{Decade}} of {{System Justification Theory}}: {{Accumulated Evidence}} of {{Conscious}} and {{Unconscious Bolstering}} of the {{Status Quo}}},
  shorttitle = {A {{Decade}} of {{System Justification Theory}}},
  author = {Jost, John T. and Banaji, Mahzarin R. and Nosek, Brian A.},
  year = {2004},
  month = dec,
  volume = {25},
  pages = {881--919},
  issn = {0162-895X, 1467-9221},
  doi = {10.1111/j.1467-9221.2004.00402.x},
  journal = {Political Psychology},
  language = {en},
  number = {6}
}

@article{jostEndEndIdeology2006,
  title = {The End of the End of Ideology.},
  author = {Jost, John T.},
  year = {2006},
  volume = {61},
  pages = {651},
  publisher = {{American Psychological Association}},
  journal = {American psychologist},
  number = {7}
}

@incollection{jovanovicIzborniSistemSrbije2011,
  title = {Izborni Sistem {{Srbije}} - Dve Decenije Posle},
  booktitle = {Partije i Izbori u {{Srbiji}} - 20 Godina},
  author = {Jovanovi{\'c}, Milan},
  editor = {Orlovi{\'c}, Slavi{\v s}a},
  year = {2011},
  pages = {219--248},
  publisher = {{\v{C}igoja \v{s}tampa}},
  address = {{Beograd}}
}

@book{jowellMeasuringAttitudesCrossnationally2007,
  title = {Measuring Attitudes Cross-Nationally: Lessons from the {{European Social Survey}}},
  shorttitle = {Measuring Attitudes Cross-Nationally},
  editor = {Jowell, Roger and {Centre for Comparative Social Surveys (Great Britain)}},
  year = {2007},
  publisher = {{SAGE}},
  address = {{Los Angeles ; London}},
  annotation = {OCLC: ocm64555627},
  isbn = {978-1-4129-1981-4},
  lccn = {HM1236 .M43 2007}
}

@article{juhlMeasurementUncertaintySpatial,
  ids = {juhlMeasurementUncertaintySpatiala},
  title = {Measurement {{Uncertainty}} in {{Spatial Models}}: {{A~Bayesian Dynamic Measurement Model}}},
  author = {Juhl, Sebastian},
  doi = {10.1017/pan.2018.35},
  abstract = {According to spatial models of political competition, parties strategically adjust their ideological positions to movements made by rival parties. Spatial econometric techniques have been proposed to empirically model such interdependencies and to closely convert theoretical expectations into statistical models. Yet, these models often ignore that the parties' ideological positions are latent variables and, as such, accompanied by a quantifiable amount of uncertainty. As a result, the implausible assumption of perfectly measured covariates impedes a proper evaluation of theoretical propositions. In order to bridge this gap between theory and empirics, the present work combines a spatial econometric model and a Bayesian dynamic item response model. The proposed model accurately accounts for measurement uncertainty and simultaneously estimates the parties' ideological positions and their spatial interdependencies. To verify the model's utility, I apply it to recorded votes from the sixteen German state legislatures in the period from 1988 to 2016. While exhibiting a notable degree of ideological mobility, the results indicate only moderate spatial dependencies among parties of the same party family. More importantly, the analysis illustrates how measurement uncertainty can lead to substantively different results which stresses the importance of appropriately incorporating theoretical expectations into statistical models.},
  journal = {Political Analysis}
}

@article{juhlSensitivitySpatialRegression2020,
  title = {The {{Sensitivity}} of {{Spatial Regression Models}} to {{Network Misspecification}}},
  author = {Juhl, Sebastian},
  year = {2020},
  pages = {1--19},
  issn = {1047-1987, 1476-4989},
  doi = {10.1017/pan.2019.12},
  abstract = {Spatial econometric models become increasingly popular in various subfields of political science. However, the necessity to specify the underlying network of dependencies, denoted by~ W\textbackslash boldsymbol\{W\} , prior to estimation is a prevalent source of criticism since the true dependence structure is rarely known and theories mostly provide insufficient guidance. The present study investigates the effects of this network uncertainty which is a special case of model uncertainty that arises from uncertainty about the correct specification of~ W\textbackslash boldsymbol\{W\} . It advocates Bayesian model averaging (BMA) as a superior approach to this problem, located at the intersection of theory and empirics. Conducting Monte Carlo experiments, I demonstrate that, while the effect estimates are robust toward a misspecification in the functional form of~ W\textbackslash boldsymbol\{W\} , uncertainty in the neighborhood definition can bias the effect estimates derived from spatial autoregressive models. In contrast to alternative techniques, BMA directly addresses network uncertainty, correctly identifies the true network structure in the set of feasible alternatives, and provides unbiased effect estimates. Two replication studies from different subfields of the discipline illustrate the benefits of this approach for applied research.},
  journal = {Political Analysis},
  language = {en}
}

@article{jungeRedundancyNoisySignaling,
  title = {Redundancy, {{Noisy Signaling}}, and {{Semantic}} Inflation: {{Studying}} the {{Patterns}} of {{Self}}-{{Destruction}} in {{Complex Systems}}},
  shorttitle = {Redundancy, {{Noisy Signaling}}, and {{Semantic}} Inflation},
  author = {Junge, Kay and Postoutenko, Kirill},
  volume = {n/a},
  issn = {1099-1743},
  doi = {10.1002/sres.2729},
  abstract = {Across the natural and social world, some fairly advanced and apparently robust systems destroy themselves without discernible reason, function, or purpose. Whereas such and similar cases have been discussed within specific branches of scholarships, the attempts to propose and test a general theory of self-destruction in complex systems remain, to our knowledge, a thing of the future. To move in this direction, we suggest that the conflicts between explicit stratification, thorough functional differentiation and tacit segmentation within complex systems, are likely to provoke their unintended self-annihilation. Furthermore, we hypothesize that whenever such systems collapse, it is the circular co-dependency of noisy signaling, redundancy, and semantic inflation that sets self-destructive mechanisms in motion. We illustrate our preliminary findings with examples from social, natural, and artificial life; reexamine autoimmunity as a popular model of systemic self-destruction; and indicate potential avenues of empirical research aimed at supporting, qualifying or disproving the underlying hypothesis.},
  annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/sres.2729},
  file = {/home/aleksandar/Dropbox/Zotero/Junge_Postoutenko/Junge_Postoutenko_Redundancy, Noisy Signaling, and Semantic inflation.pdf;/home/aleksandar/Zotero/storage/2LFRLGMF/sres.html},
  journal = {Systems Research and Behavioral Science},
  language = {en},
  number = {n/a}
}

@article{jx119;drzejewskiThinkThenAct,
  title = {Think Then Act or Act Then Think?.},
  author = {J\&\#x119;drzejewski, Arkadiusz and Marcjasz, Grzegorz and Nail, Paul R. and {Sznajd-weron}, Katarzyna},
  doi = {arXiv:1806.11243v3},
  abstract = {{$<$}p{$>$}We introduce a new agent-based model of opinion dynamics in which binary opinions (yes/no) of each agent can be measured and described regarding both pre- and post-influence at both of two levels, public and private, vis-\textbackslash `a-vis the influence source. The model combines ideas introduced within the \$q\$-voter model with noise, proposed by physicists, with the descriptive, four-dimensional model of social response, formulated by social psychologists. We investigate two versions of the same model that differ only by the updating order: an opinion on the public level is updated before an opinion on the private level or vice versa. We show how the results on the macroscopic scale depend on this order. The main finding of this paper is that both models produce the same outcome if one looks only at such a macroscopic variable as the total number of the individuals with positive opinions. However, if also the level of internal harmony (viz., dissonance) is measured, then significant, qualitative differences are seen between these two versions of the model. All results were obtained simultaneously within Monte Carlo simulations and analytical calculations. We discuss the importance of our studies and findings from three points of view: the theory of phase transitions, agent-based modeling of social systems, and social psychology. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{jx119;drzejewskiThinkThenActa,
  title = {Think Then Act or Act Then Think?.},
  author = {J\&\#x119;drzejewski, Arkadiusz and Marcjasz, Grzegorz and Nail, Paul R. and {Sznajd-weron}, Katarzyna},
  doi = {arXiv:1806.11243v3},
  abstract = {{$<$}p{$>$}We introduce a new agent-based model of opinion dynamics in which binary opinions (yes/no) of each agent can be measured and described regarding both pre- and post-influence at both of two levels, public and private, vis-\textbackslash `a-vis the influence source. The model combines ideas introduced within the \$q\$-voter model with noise, proposed by physicists, with the descriptive, four-dimensional model of social response, formulated by social psychologists. We investigate two versions of the same model that differ only by the updating order: an opinion on the public level is updated before an opinion on the private level or vice versa. We show how the results on the macroscopic scale depend on this order. The main finding of this paper is that both models produce the same outcome if one looks only at such a macroscopic variable as the total number of the individuals with positive opinions. However, if also the level of internal harmony (viz., dissonance) is measured, then significant, qualitative differences are seen between these two versions of the model. All results were obtained simultaneously within Monte Carlo simulations and analytical calculations. We discuss the importance of our studies and findings from three points of view: the theory of phase transitions, agent-based modeling of social systems, and social psychology. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{kampMeasurementErrorSpecificationundefined/ed,
  title = {Measurement {{Error}} and the {{Specification}} of the {{Weights Matrix}} in {{Spatial Regression Models}}},
  author = {Kamp, Garrett N. Vande},
  year = {undefined/ed},
  pages = {1--9},
  issn = {1047-1987, 1476-4989},
  doi = {10.1017/pan.2019.35},
  abstract = {While the spatial weights matrix  W\textbackslash boldsymbol\{W\}  is at the core of spatial regression models, there is a scarcity of techniques for validating a given specification of  W\textbackslash boldsymbol\{W\} . I approach this problem from a measurement error perspective. When  W\textbackslash boldsymbol\{W\}  is inflated by a constant, a predictable form of endogeneity occurs that is not problematic in other regression contexts. I use this insight to construct a theoretically appealing test and control for the validity of  W\textbackslash boldsymbol\{W\}  that is tractable in panel data, which I call the K test. I demonstrate the utility of the test using Monte Carlo simulations.},
  journal = {Political Analysis},
  language = {en}
}

@article{kangPsychometricAnalysisKorean2012,
  title = {Psychometric Analysis of the {{Korean}} Version of the {{Disgust Scale}}\textemdash{{Revised}}},
  author = {Kang, Jee In and Kim, Se Joo and Cho, Hyong Jin and Jhung, Kyungun and Lee, Su Young and Lee, Eun and An, Suk Kyoon},
  year = {2012},
  month = jul,
  volume = {53},
  pages = {648--655},
  issn = {0010-440X},
  doi = {10.1016/j.comppsych.2011.06.005},
  abstract = {Objective Disgust is a basic emotion associated with feelings of revulsion and withdrawal behaviors from dangerous situations. The aim of this study was to examine the psychometric properties of the Disgust Scale\textemdash Revised (DS-R), a tool designed to measure individuals' responses to various disgust-provoking situations, among Korean populations. Methods A sample of 1117 healthy volunteers completed self-report questionnaires containing the 27-item DS-R. A subsample (n = 231) completed the Temperament and Character Inventory (TCI), Eysenck Personality Questionnaire (EPQ), and State-Trait Anxiety Inventory (STAI). Principal component analysis using a varimax rotation was conducted. Construct validity was assessed using Pearson correlation analysis for the TCI, EPQ, and STAI. To examine differences in responses on the DS-R among populations, patients with obsessive-compulsive disorder were compared with healthy subjects who were matched with respect to age and sex. Results The Cronbach {$\alpha$} estimates for total items and the 3 original subscales of the DS-R, including: core disgust, animal reminder disgust, and contamination-based disgust, were 0.86, 0.77, 0.80, and 0.55, respectively. Principal component analysis identified 5 factors, which accounted for 48\% of the total variance of the scale. The 5 newly developed dimensions were labeled as core disgust-touch, core disgust-dirt, contamination-based disgust, animal reminder disgust, and social intolerance disgust. The Cronbach {$\alpha$} coefficients were 0.79, 0.64, 0.46, 0.77, and 0.34, respectively, for these subscales. The DS-R was correlated positively with harm avoidance from the TCI, neuroticism from the EPQ, and the anxiety scores of STAI. Furthermore, the contamination-based disgust scores for patients with obsessive-compulsive disorder were higher than those of normal controls. Conclusion The DS-R may be a reliable, valid, and acceptable tool to measure disgust sensitivity among Korean populations. The psychometric properties of the Korean version of the DS-R and the original DS-R are discussed.},
  file = {/home/aleksandar/Zotero/storage/N2YAJG49/S0010440X11001398.html},
  journal = {Comprehensive Psychiatry},
  language = {en},
  number = {5}
}

@article{kanHowComparePsychometric2020,
  title = {How to {{Compare Psychometric Factor}} and {{Network Models}}},
  author = {Kan, Kees-Jan},
  year = {2020},
  pages = {10},
  abstract = {In memory of Dr. Dennis John McFarland, who passed away recently, our objective is to continue his efforts to compare psychometric networks and latent variable models statistically. We do so by providing a commentary on his latest work, which he encouraged us to write, shortly before his death. We first discuss the statistical procedure McFarland used, which involved structural equation modeling (SEM) in standard SEM software. Next, we evaluate the penta-factor model of intelligence. We conclude that (1) standard SEM software is not suitable for the comparison of psychometric networks with latent variable models, and (2) the penta-factor model of intelligence is only of limited value, as it is nonidentified. We conclude with a reanalysis of the Wechlser Adult Intelligence Scale data McFarland discussed and illustrate how network and latent variable models can be compared using the recently developed R package Psychonetrics. Of substantive theoretical interest, the results support a network interpretation of general intelligence. A novel empirical finding is that networks of intelligence replicate over standardization samples.},
  file = {/home/aleksandar/Zotero/storage/97FE48UN/Kan - 2020 - How to Compare Psychometric Factor and Network Mod.pdf},
  language = {en}
}

@article{kanHowComparePsychometric2020a,
  title = {How to {{Compare Psychometric Factor}} and {{Network Models}}},
  author = {Kan, Kees-Jan and {de Jonge}, Hannelies and {van der Maas}, Han L. J. and Levine, Stephen Z. and Epskamp, Sacha},
  year = {2020},
  month = dec,
  volume = {8},
  pages = {35},
  publisher = {{Multidisciplinary Digital Publishing Institute}},
  doi = {10.3390/jintelligence8040035},
  abstract = {In memory of Dr. Dennis John McFarland, who passed away recently, our objective is to continue his efforts to compare psychometric networks and latent variable models statistically. We do so by providing a commentary on his latest work, which he encouraged us to write, shortly before his death. We first discuss the statistical procedure McFarland used, which involved structural equation modeling (SEM) in standard SEM software. Next, we evaluate the penta-factor model of intelligence. We conclude that (1) standard SEM software is not suitable for the comparison of psychometric networks with latent variable models, and (2) the penta-factor model of intelligence is only of limited value, as it is nonidentified. We conclude with a reanalysis of the Wechlser Adult Intelligence Scale data McFarland discussed and illustrate how network and latent variable models can be compared using the recently developed R package Psychonetrics. Of substantive theoretical interest, the results support a network interpretation of general intelligence. A novel empirical finding is that networks of intelligence replicate over standardization samples.},
  copyright = {http://creativecommons.org/licenses/by/3.0/},
  file = {/home/aleksandar/Zotero/storage/LZSXBTFI/Kan et al_2020_How to Compare Psychometric Factor and Network Models.pdf;/home/aleksandar/Zotero/storage/HTZ34WJA/35.html;/home/aleksandar/Zotero/storage/I9LZWICA/35.html},
  journal = {Journal of Intelligence},
  keywords = {_tablet,factor analysis,intelligence,latent variable modeling,model comparison,psychometric network analysis,replicating networks},
  language = {en},
  number = {4}
}

@article{kaoLearningFactorModel2013,
  title = {Learning a {{Factor Model}} via {{Regularized PCA}}},
  author = {Kao, Yi-Hao and Van Roy, Benjamin},
  year = {2013},
  month = jun,
  volume = {91},
  pages = {279--303},
  issn = {0885-6125, 1573-0565},
  doi = {10.1007/s10994-013-5345-8},
  abstract = {We consider the problem of learning a linear factor model. We propose a regularized form of principal component analysis (PCA) and demonstrate through experiments with synthetic and real data the superiority of resulting estimates to those produced by pre-existing factor analysis approaches. We also establish theoretical results that explain how our algorithm corrects the biases induced by conventional approaches. An important feature of our algorithm is that its computational requirements are similar to those of PCA, which enjoys wide use in large part due to its efficiency.},
  archivePrefix = {arXiv},
  eprint = {1111.6201},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/HFME8RGZ/1111.html},
  journal = {Machine Learning},
  number = {3}
}

@article{karamchedHeterogeneityImprovesSpeed2020,
  title = {Heterogeneity {{Improves Speed}} and {{Accuracy}} in {{Social Networks}}},
  author = {Karamched, Bhargav and Stickler, Megan and Ott, William and Lindner, Benjamin and Kilpatrick, Zachary P. and Josi{\'c}, Kre{\v s}imir},
  year = {2020},
  month = nov,
  volume = {125},
  pages = {218302},
  issn = {0031-9007, 1079-7114},
  doi = {10.1103/PhysRevLett.125.218302},
  file = {/home/aleksandar/Zotero/storage/F6SRHX5K/Karamched et al. - 2020 - Heterogeneity Improves Speed and Accuracy in Socia.pdf},
  journal = {Physical Review Letters},
  language = {en},
  number = {21}
}

@article{kargaranHeiderCoevolutionaryBalance2020,
  title = {Heider and Coevolutionary Balance: {{From}} Discrete to Continuous Phase Transition},
  shorttitle = {Heider and Coevolutionary Balance},
  author = {Kargaran, A. and Jafari, G. R.},
  year = {2020},
  month = oct,
  abstract = {Structural balance in social complex networks has been modeled with two types of triplet interactions. First, the interaction that only considers dynamic role for links or relationships (Heider balance), and second, the interaction that considers both individual opinions (nodes) and relationships in network dynamics (coevolutionary balance). The question is, as the temperature varies, which is a measure of social disorder, how structural balance can be created or destroyed by each of these triplet interactions? We use statistical mechanics methods and observe through analytical calculation and numerical simulation that unlike the Heider balance triplet interaction which has a discrete phase transition, the coevolutionary balance has a continuous phase transition. The critical temperature of the presented model change with the root square of network size which is a linear dependence in thermal Heider balance.},
  archivePrefix = {arXiv},
  eprint = {2010.10036},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Kargaran_Jafari/Kargaran_Jafari_2020_Heider and coevolutionary balance.pdf;/home/aleksandar/Zotero/storage/7LWWPTN4/2010.html},
  journal = {arXiv:2010.10036 [physics]},
  primaryClass = {physics}
}

@article{katiyarRobustEstimationTree,
  title = {Robust Estimation of Tree Structured {{Gaussian Graphical Model}}.},
  author = {Katiyar, Ashish and Hoffmann, Jessica and Caramanis, Constantine},
  doi = {arXiv:1901.08770v1},
  abstract = {{$<$}p{$>$}Consider jointly Gaussian random variables whose conditional independence structure is specified by a graphical model. If we observe realizations of the variables, we can compute the covariance matrix, and it is well known that the support of the inverse covariance matrix corresponds to the edges of the graphical model. Instead, suppose we only have noisy observations. If the noise at each node is independent, we can compute the sum of the covariance matrix and an unknown diagonal. The inverse of this sum is (in general) dense. We ask: can the original independence structure be recovered? We address this question for tree structured graphical models. We prove that this problem is unidentifiable, but show that this unidentifiability is limited to a small class of candidate trees. We further present additional constraints under which the problem is identifiable. Finally, we provide an O(n\^3) algorithm to find this equivalence class of trees. {$<$}/p{$>$}},
  journal = {arXiv Machine Learning (Statistics)}
}

@article{katiyarRobustEstimationTreea,
  title = {Robust Estimation of Tree Structured {{Gaussian Graphical Model}}.},
  author = {Katiyar, Ashish and Hoffmann, Jessica and Caramanis, Constantine},
  doi = {arXiv:1901.08770v1},
  abstract = {{$<$}p{$>$}Consider jointly Gaussian random variables whose conditional independence structure is specified by a graphical model. If we observe realizations of the variables, we can compute the covariance matrix, and it is well known that the support of the inverse covariance matrix corresponds to the edges of the graphical model. Instead, suppose we only have noisy observations. If the noise at each node is independent, we can compute the sum of the covariance matrix and an unknown diagonal. The inverse of this sum is (in general) dense. We ask: can the original independence structure be recovered? We address this question for tree structured graphical models. We prove that this problem is unidentifiable, but show that this unidentifiability is limited to a small class of candidate trees. We further present additional constraints under which the problem is identifiable. Finally, we provide an O(n\^3) algorithm to find this equivalence class of trees. {$<$}/p{$>$}},
  journal = {arXiv Machine Learning (Statistics)}
}

@article{katzTeachingPoliticalBehavior2019,
  title = {Teaching Political Behavior in the Age of {{Trump}}},
  author = {Katz, Richard S.},
  year = {2019},
  month = oct,
  issn = {1682-0983},
  doi = {10.1057/s41304-019-00224-2},
  abstract = {The first two questions that must be addressed in writing about teaching political behavior in the era of Trump are what do we mean by political behavior and what do we mean by the era of Trump. Although political behavior in its full sense encompasses a very broad subject, in this intervention, I focus primarily on the electoral behavior of ordinary citizens. As for ``the era of Trump,'' my position is that rise of Trump, along with the Brexit vote, and the rise of European populism are very much of a piece\textemdash a modern democratic phenomenon rather than a specifically American one. Rather than requiring a fundamentally new approach in how we think about voters, however, they are all the heightened result of things that have been true for a long time, perhaps catalyzed, but not fundamentally caused, by current events. Moreover, these are things that used to be at the core of our teaching and research about electoral behavior, but have largely fallen off the agenda\textemdash and need to be brought back to a central position. This contribution is organized under three major headings: (1) how the content of what we teach about political/electoral behavior might be adjusted in the age of Trump; (2) how teaching about politics more generally might be changed in the age of Trump; (3) and the implications of what we are teaching for democracy, and for our role as both critics of, and propagandists for, liberal democracy.},
  journal = {European Political Science},
  language = {en}
}

@article{kaufmanSociophysicsIntractableConflicts,
  title = {Sociophysics of Intractable Conflicts: {{Three}}-Group Dynamics},
  author = {Kaufman, Miron and Diep, Hung. T. and Kaufman, Sanda},
  doi = {S0378437118314110},
  abstract = {{$<$}p{$>$}Publication date: Available online 8 November 2018{$<$}/p{$><$}p{$>$}\textbf{Source:} Physica A: Statistical Mechanics and its Applications{$<$}/p{$><$}p{$>$}Author(s): Miron Kaufman, Hung. T. Diep, Sanda Kaufman{$<$}/p{$><$}h5{$>$}Abstract{$<$}/h5{$><$}div{$><$}p{$>$}We extend a sociophysics model of two-group conflict dynamics to three groups. The model with attractors and chaos is proposed as a tool for exploring and managing intractable conflicts. It can be used to generate scenarios of trajectories and outcomes. We use mean-field theory for long-range interactions to study the time dependence of the three groups' mean attitudes. We find that at some intermediate temperatures the group mean attitudes oscillate in time. Independent of initial conditions, trajectories converge overtime to an attractor in the three-dimensional space of mean attitudes. We use Monte Carlo simulations to explore short-range group interactions and find chaotic unpredictable time variation of attitudes at high temperatures. For illustrative purposes we apply the model to the Bosnia and Herzegovina conflict.{$<$}/p{$><$}/div{$>$}},
  journal = {Physica A: Statistical Mechanics and its Applications}
}

@article{kaufmanSociophysicsIntractableConflictsa,
  title = {Sociophysics of {{Intractable Conflicts}}: {{Three}}-{{Group Dynamics}}.},
  author = {Kaufman, Miron and Diep, Hung and Kaufman, Sanda and Carlo, Monte},
  doi = {arXiv:1807.11259v1},
  abstract = {{$<$}p{$>$}We extend a sociophysics model of two-group conflict dynamics to three groups. The model with attractors and chaos is proposed as a tool for exploring and managing intractable conflicts. It can be used to generate scenarios of trajectories and outcomes. We use mean-field theory for long-range interactions to study the time dependence of the three grousp' mean attitudes. We find that at some intermediate temperatures the group mean attitudes oscillate in time. Independent of initial conditions, trajectories converge overtime to an attractor in the three-dimensional space of mean attitudes. We use Monte Carlo simulations to explore short-range group interactions and find chaotic unpredictable time variation of attitudes at high temperatures. For illustrative purposes we apply the model to the Bosnia and Herze-govina conflict. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{kaufmanSociophysicsIntractableConflictsb,
  title = {Sociophysics of Intractable Conflicts: {{Three}}-Group Dynamics},
  author = {Kaufman, Miron and Diep, Hung. T. and Kaufman, Sanda},
  doi = {S0378437118314110},
  abstract = {{$<$}p{$>$}Publication date: Available online 8 November 2018{$<$}/p{$><$}p{$>$}\textbf{Source:} Physica A: Statistical Mechanics and its Applications{$<$}/p{$><$}p{$>$}Author(s): Miron Kaufman, Hung. T. Diep, Sanda Kaufman{$<$}/p{$><$}h5{$>$}Abstract{$<$}/h5{$><$}div{$><$}p{$>$}We extend a sociophysics model of two-group conflict dynamics to three groups. The model with attractors and chaos is proposed as a tool for exploring and managing intractable conflicts. It can be used to generate scenarios of trajectories and outcomes. We use mean-field theory for long-range interactions to study the time dependence of the three groups' mean attitudes. We find that at some intermediate temperatures the group mean attitudes oscillate in time. Independent of initial conditions, trajectories converge overtime to an attractor in the three-dimensional space of mean attitudes. We use Monte Carlo simulations to explore short-range group interactions and find chaotic unpredictable time variation of attitudes at high temperatures. For illustrative purposes we apply the model to the Bosnia and Herzegovina conflict.{$<$}/p{$><$}/div{$>$}},
  journal = {Physica A: Statistical Mechanics and its Applications}
}

@article{kaufmanSociophysicsIntractableConflictsc,
  title = {Sociophysics of {{Intractable Conflicts}}: {{Three}}-{{Group Dynamics}}.},
  author = {Kaufman, Miron and Diep, Hung and Kaufman, Sanda and Carlo, Monte},
  doi = {arXiv:1807.11259v1},
  abstract = {{$<$}p{$>$}We extend a sociophysics model of two-group conflict dynamics to three groups. The model with attractors and chaos is proposed as a tool for exploring and managing intractable conflicts. It can be used to generate scenarios of trajectories and outcomes. We use mean-field theory for long-range interactions to study the time dependence of the three grousp' mean attitudes. We find that at some intermediate temperatures the group mean attitudes oscillate in time. Independent of initial conditions, trajectories converge overtime to an attractor in the three-dimensional space of mean attitudes. We use Monte Carlo simulations to explore short-range group interactions and find chaotic unpredictable time variation of attitudes at high temperatures. For illustrative purposes we apply the model to the Bosnia and Herze-govina conflict. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{kavanaughWeakTiesNetworked2005,
  title = {Weak {{Ties}} in {{Networked Communities}}},
  author = {Kavanaugh, Andrea L. and Reese, Debbie Denise and Carroll, John M. and Rosson, Mary Beth},
  year = {2005},
  month = apr,
  volume = {21},
  pages = {119--131},
  issn = {0197-2243, 1087-6537},
  doi = {10.1080/01972240590925320},
  journal = {The Information Society},
  language = {en},
  number = {2}
}

@article{kawadaCosineSimilarityBorda,
  title = {Cosine Similarity and the {{Borda}} Rule},
  author = {Kawada, Yoko},
  doi = {10.1007/s00355-017-1104-2},
  abstract = {{$<$}h3 class="a-plus-plus"{$>$}Abstract{$<$}/h3{$>$}                     {$<$}p class="a-plus-plus"{$>$}Cosine similarity is a commonly used similarity measure in computer science. We apply this similarity measure to define a voting rule, namely, the cosine similarity rule. This rule selects a social ranking that maximizes cosine similarity between the social ranking and a given preference profile. Our main finding is that the cosine similarity rule in fact coincides with the Borda rule.{$<$}/p{$>$}},
  journal = {Social Choice and Welfare}
}

@article{kawadaCosineSimilarityBordaa,
  title = {Cosine Similarity and the {{Borda}} Rule},
  author = {Kawada, Yoko},
  doi = {10.1007/s00355-017-1104-2},
  abstract = {{$<$}h3 class="a-plus-plus"{$>$}Abstract{$<$}/h3{$>$}                     {$<$}p class="a-plus-plus"{$>$}Cosine similarity is a commonly used similarity measure in computer science. We apply this similarity measure to define a voting rule, namely, the cosine similarity rule. This rule selects a social ranking that maximizes cosine similarity between the social ranking and a given preference profile. Our main finding is that the cosine similarity rule in fact coincides with the Borda rule.{$<$}/p{$>$}},
  journal = {Social Choice and Welfare}
}

@article{kawamotoSpectralClusteringAnnotated2020,
  title = {Spectral Clustering of Annotated Graphs Using a Factor Graph Representation},
  author = {Kawamoto, Tatsuro},
  year = {2020},
  month = oct,
  abstract = {Graph-structured data commonly have node annotations. A popular approach for inference and learning involving annotated graphs is to incorporate annotations into a statistical model or algorithm. By contrast, we consider a more direct method named scotch-taping, in which the structural information in a graph and its node annotations are encoded as a factor graph. Specifically, we establish the mathematical basis of this method in the spectral framework.},
  archivePrefix = {arXiv},
  eprint = {2010.02791},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Kawamoto/Kawamoto_2020_Spectral clustering of annotated graphs using a factor graph representation.pdf;/home/aleksandar/Zotero/storage/HGE3P5FZ/2010.html},
  journal = {arXiv:2010.02791 [physics]},
  primaryClass = {physics}
}

@inproceedings{kazilUtilizingPythonAgentBased2020,
  title = {Utilizing {{Python}} for {{Agent}}-{{Based Modeling}}: {{The Mesa Framework}}},
  shorttitle = {Utilizing {{Python}} for {{Agent}}-{{Based Modeling}}},
  booktitle = {Social, {{Cultural}}, and {{Behavioral Modeling}}},
  author = {Kazil, Jackie and Masad, David and Crooks, Andrew},
  editor = {Thomson, Robert and Bisgin, Halil and Dancy, Christopher and Hyder, Ayaz and Hussain, Muhammad},
  year = {2020},
  pages = {308--317},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-61255-9_30},
  abstract = {Mesa is an agent-based modeling framework written in Python. Originally started in 2013, it was created to be the go-to tool in for researchers wishing to build agent-based models with Python. Within this paper we present Mesa's design goals, along with its underlying architecture. This includes its core components: 1) the model (Model, Agent, Schedule, and Space), 2) analysis (Data Collector and Batch Runner) and the visualization (Visualization Server and Visualization Browser Page). We then discuss how agent-based models can be created in Mesa. This is followed by a discussion of applications and extensions by other researchers to demonstrate how Mesa design is decoupled and extensible and thus creating the opportunity for a larger decentralized ecosystem of packages that people can share and reuse for their own needs. Finally, the paper concludes with a summary and discussion of future development areas for Mesa.},
  isbn = {978-3-030-61255-9},
  language = {en},
  series = {Lecture {{Notes}} in {{Computer Science}}}
}

@article{keighleyImportanceInnervatedIntact1975,
  title = {The Importance of an Innervated and Intact Antrum and Pylorus in Preventing Postoperative Duodenogastric Reflux and Gastritis},
  author = {Keighley, M. R. and Asquith, P. and Edwards, J. A. and {Alexander-Williams}, J.},
  year = {1975},
  month = oct,
  volume = {62},
  pages = {845--849},
  issn = {0007-1323},
  abstract = {This study has investigated the relationship between duodenogastric reflux, gastritis and certain symptoms 6-12 months after three operations for uncomplicated duodenal ulcer. The operations studied were proximal gastric vagotomy (PGV, 20 cases), truncal vagotomy and pyloroplasty (TV+P, 22 cases) and truncal vagotomy and antrectomy (TV+A, 21 cases). Duodenogastric reflux was assessed both by a radiological technique and by measuring the concentration of bilirubin in the gastric aspirate before and after operation. Incidence and severity of postoperative gastritis were determined by endoscopic biopsy. Symptoms were assessed by symptomatic score and Visick grading. There was a significant correlation between duodenal reflux and histological evidence of both severe superficial gastritis and glandular atrophy (P less than 0-01). There was also a close association between the degree of reflux and the presence of severe heartburn, epigastric pain and bile vomiting after operation. The amount of reflux did not differ before operation. There was significantly less reflux following PGV than after either TV+P (P less than 0-025) or TV+A (P less than 0-001). The results indicate that an operation which preserves an innervated and intact antrum and pylorus will protect against postoperative duodenogastric reflux, gastritis and symptoms.},
  journal = {The British Journal of Surgery},
  language = {eng},
  number = {10},
  pmid = {123}
}

@article{kejriwalStructuralStudiesGlobal2020,
  title = {Structural Studies of the Global Networks Exposed in the {{Panama}} Papers},
  author = {Kejriwal, Mayank and Dang, Akarsh},
  year = {2020},
  month = dec,
  volume = {5},
  pages = {63},
  issn = {2364-8228},
  doi = {10.1007/s41109-020-00313-y},
  abstract = {In recent history, the Panama Papers have comprised one of the largest and most influential leaks detailing information on offshore entities, company officers and financial (and legal) intermediaries, and has led to a global expos\'e of corruption and tax evasion. A systematic analysis of this information can provide valuable insights into the structure and properties of these entities and the relations between them. Network science can be applied as a scientific framework for understanding the structure of such relational, heterogeneous datasets at scale. In this article, we use an existing, relational version of the Panama Papers to selectively construct various networks, and then study the properties of the underlying system using well-defined analytical methods from network science, including degree properties, country assortativity analyses, connectivity and single-point network metrics like transitivity and density. We also illustrate significant structural features in these networks by conducting a triad census and exploring the networks' core-periphery structure. Together, these results are used to show that the Panama Papers constitute a distinct class of networks that differ significantly from ordinary social and information networks. We also propose, construct and analyze `higher-order' networks from the raw data, such as a `social' network of officers. We confirm that some of these higher-order networks also show significant non-random deviations from expected or typical behavior, including in their degree distributions.},
  file = {/home/aleksandar/Zotero/storage/PXZDPC3L/Kejriwal and Dang - 2020 - Structural studies of the global networks exposed .pdf},
  journal = {Applied Network Science},
  language = {en},
  number = {1}
}

@article{kelloScalingLawsCognitive2010,
  title = {Scaling Laws in Cognitive Sciences},
  author = {Kello, Christopher T. and Brown, Gordon D. A. and {Ferrer-i-Cancho}, Ramon and Holden, John G. and {Linkenkaer-Hansen}, Klaus and Rhodes, Theo and Van Orden, Guy C.},
  year = {2010},
  month = may,
  volume = {14},
  pages = {223--232},
  issn = {1364-6613},
  doi = {10.1016/j.tics.2010.02.005},
  abstract = {Scaling laws are ubiquitous in nature, and they pervade neural, behavioral and linguistic activities. A scaling law suggests the existence of processes or patterns that are repeated across scales of analysis. Although the variables that express a scaling law can vary from one type of activity to the next, the recurrence of scaling laws across so many different systems has prompted a search for unifying principles. In biological systems, scaling laws can reflect adaptive processes of various types and are often linked to complex systems poised near critical points. The same is true for perception, memory, language and other cognitive phenomena. Findings of scaling laws in cognitive science are indicative of scaling invariance in cognitive mechanisms and multiplicative interactions among interdependent components of cognition.},
  file = {/home/aleksandar/Zotero/storage/LC4H6CP7/S136466131000046X.html},
  journal = {Trends in Cognitive Sciences},
  language = {en},
  number = {5}
}

@article{keltonTrustDigitalInformation2008,
  title = {Trust in Digital Information},
  author = {Kelton, Kari and Fleischmann, Kenneth R. and Wallace, William A.},
  year = {2008},
  volume = {59},
  pages = {363--374},
  issn = {1532-2890},
  doi = {10.1002/asi.20722},
  abstract = {Trust in information is developing into a vitally important topic as the Internet becomes increasingly ubiquitous within society. Although many discussions of trust in this environment focus on issues like security, technical reliability, or e-commerce, few address the problem of trust in the information obtained from the Internet. The authors assert that there is a strong need for theoretical and empirical research on trust within the field of information science. As an initial step, the present study develops a model of trust in digital information by integrating the research on trust from the behavioral and social sciences with the research on information quality and human\textendash{} computer interaction. The model positions trust as a key mediating variable between information quality and information usage, with important consequences for both the producers and consumers of digital information. The authors close by outlining important directions for future research on trust in information science and technology.},
  annotation = {\_eprint: https://asistdl.onlinelibrary.wiley.com/doi/pdf/10.1002/asi.20722},
  copyright = {Copyright \textcopyright{} 2007 Wiley Periodicals, Inc., A Wiley Company},
  file = {/home/aleksandar/Documents/Zotero/Kelton et al/Kelton et al_2008_Trust in digital information.pdf;/home/aleksandar/Zotero/storage/VQX3PT4X/asi.html},
  journal = {Journal of the American Society for Information Science and Technology},
  language = {en},
  number = {3}
}

@article{kelty-stephenMultifractalityMonoFractality2017,
  title = {Multifractality {{Versus}} ({{Mono}}-) {{Fractality}} as {{Evidence}} of {{Nonlinear Interactions Across Timescales}}: {{Disentangling}} the {{Belief}} in {{Nonlinearity From}} the {{Diagnosis}} of {{Nonlinearity}} in {{Empirical Data}}},
  shorttitle = {Multifractality {{Versus}} ({{Mono}}-) {{Fractality}} as {{Evidence}} of {{Nonlinear Interactions Across Timescales}}},
  author = {{Kelty-Stephen}, Damian G. and Wallot, Sebastian},
  year = {2017},
  month = oct,
  volume = {29},
  pages = {259--299},
  publisher = {{Routledge}},
  issn = {1040-7413},
  doi = {10.1080/10407413.2017.1368355},
  abstract = {This article addresses the still popular but incorrect idea that monofractal (sometimes called ``fractal'' for short) structure might be a definitive signature of nonlinearity and, as a corollary, that monofractal analyses are nonlinear analyses. That this point (i.e., ``fractal = nonlinear'') is incorrect remains novel to many readers. We suspect that unfamiliarity with autocorrelation has helped eclipse the linearity of fractal structure from more popular appreciation. In this article, in order to explain the linear nature of monofractality and its difference from multifractality, we present an introduction to the autocorrelation function and review short-lag memory, nonstationary motions, and the intermediary set of fractionally integrated processes that conventional fractal analyses quantify. Understanding from our own experiences how surprising the linearity of fractals is to accept, we attempt to make our points clear with as much graphic depiction as math. We hope to share our own experiences in struggling with this potentially strange-sounding idea that, really, monofractals are linear while at the same time contrasting them to multifractals that can indicate nonlinearity.},
  annotation = {\_eprint: https://doi.org/10.1080/10407413.2017.1368355},
  file = {/home/aleksandar/Zotero/storage/C2CUV2JQ/10407413.2017.html},
  journal = {Ecological Psychology},
  number = {4}
}

@article{kelty-stephenTutorialMultifractalityCascades2013,
  title = {A {{Tutorial}} on {{Multifractality}}, {{Cascades}}, and {{Interactivity}} for {{Empirical Time Series}} in {{Ecological Science}}},
  author = {{Kelty-Stephen}, Damian G. and Palatinus, Kinga and Saltzman, Elliot and Dixon, James A.},
  year = {2013},
  month = jan,
  volume = {25},
  pages = {1--62},
  publisher = {{Routledge}},
  issn = {1040-7413},
  doi = {10.1080/10407413.2013.753804},
  abstract = {Interactivity is a central theme of ecological psychology. According to Gibsonian views, behavior is the emergent property of interactions between organism and environment. Hence, an important challenge for ecological psychology has been to identify physical principles that provide an empirical window into interactivity. We suspect that multifractality, a concept from statistical physics, may be helpful in this regard, and we offer this article as a tutorial on multifractality with 2 main goals. First, we aim to describe multifractality with a series of simple, concrete, but progressively more elaborate examples that will incrementally elucidate the relationship between multifractality and interactivity. Second, we aim to describe a direct estimation method for computing the multifractal spectrum (e.g., Chhabra \& Jensen, 1989), presenting it as an alternative that avoids the pitfalls of more popular methods and that may address more appropriately the measurements traditionally taken by ecological psychologists. In sum, this tutorial aims to unpack the theoretical background for an analytical method allowing rigorous test of interactivity in a variety of empirical settings.},
  annotation = {\_eprint: https://doi.org/10.1080/10407413.2013.753804},
  file = {/home/aleksandar/Zotero/storage/5VFJY2N5/10407413.2013.html;/home/aleksandar/Zotero/storage/M4JB3Z6B/10407413.2013.html},
  journal = {Ecological Psychology},
  number = {1}
}

@techreport{kennedyMoralConcernsAre2020,
  title = {Moral {{Concerns}} Are {{Differentially Observable}} in {{Language}}},
  author = {Kennedy, Brendan and Atari, Mohammad and Davani, Aida Mostafazadeh and Hoover, Joseph and Omrani, Ali and Graham, Jesse and Dehghani, Morteza},
  year = {2020},
  month = may,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/uqmty},
  abstract = {Language is a psychologically rich medium for human expression and communication. While it is often used in moral psychology as an intermediary between researcher and participant, much of the human experience that occurs through language \textemdash{} our relationships, conversations, and, in general, the everyday transmission of our thoughts \textemdash has yet to be studied in association with moral concerns. In order to understand how moral concerns relate to observed language usage, we paired Facebook status updates (N = 107,798) from English-speaking participants (n = 2,691) with their responses on the Moral Foundations Questionnaire, which measures Care, Fairness, Loyalty, Authority, and Purity concerns. Overall, we found consistent evidence that participants' self-reported moral concerns can be predicted from their language, though the magnitude of this effect varied considerably among concerns. Across a diverse selection of Natural Language Processing methods, cross-validated R2 values ranged from 0.04 for predicting Fairness concerns to 0.21 for predicting Purity concerns. In follow-up analyses, each moral concern was found to be related to distinct patterns of relational, emotional, and social language. Our results are the first finding relating internally valid measures of moral concerns to observations of language, motivating several new avenues for exploring and investigating how the moral domain intersects with language usage.},
  file = {/home/aleksandar/Dropbox/Zotero/Kennedy et al/Kennedy et al_2020_Moral Concerns are Differentially Observable in Language.pdf},
  language = {en},
  type = {Preprint}
}

@article{kesselInformedUninformedMisinformed2020,
  title = {Informed, Uninformed or Misinformed? {{A}} Cross-National Analysis of Populist Party Supporters across {{European}} Democracies},
  shorttitle = {Informed, Uninformed or Misinformed?},
  author = {van Kessel, Stijn and Sajuria, Javier and Hauwaert, Steven M. Van},
  year = {2020},
  month = jan,
  volume = {0},
  pages = {1--26},
  issn = {0140-2382},
  doi = {10.1080/01402382.2019.1700448},
  abstract = {Recent research suggests that populist party supporters are not necessarily unsophisticated protest voters. This leads us to question the still popular assumption that these individuals are politically uninformed. Simultaneously, given the current political and media climate and debates about `fake news', this article asks to what extent misinformation, i.e. the possession of erroneous political information, stimulates populist party support. Survey data from nine European democracies are used to assess to what extent populist party supporters differ from abstainers and non-populist party supporters in terms of their political information and misinformation. It is found that holding correct political information relates positively to the likelihood of turning out, whether it is to support populist or non-populist parties. It is further found that political misinformation relates positively to support for right-wing populist parties. The findings provide a first empirical and comparative contribution to recent debates that seek to connect misinformation and political behaviour.},
  journal = {West European Politics},
  number = {0}
}

@article{khalilZealotsMultistateNoisy2020,
  title = {Zealots in Multi-State Noisy Voter Models},
  author = {Khalil, Nagi and Galla, Tobias},
  year = {2020},
  month = jul,
  abstract = {The noisy voter model is a stylised representation of opinion dynamics. Individuals copy opinions from other individuals, and are subject to spontaneous state changes. In the case of two opinion states this model is known to have a noise-driven transition between a unimodal phase, in which both opinions are present, and a bimodal phase in which one of the opinions dominates. The presence of zealots can remove the unimodal and bimodal phases in the model with two opinion states. Here, we study the effects of zealots in noisy voter models with M{$>$}2 opinion states on complete interaction graphs. We find that the phase behaviour diversifies, with up to six possible qualitatively different types of stationary states. The presence of zealots removes some of these phases, but not all. We analyse situations in which zealots affect the entire population, or only a fraction of agents, and show that this situation corresponds to a single-community model with a fractional number of zealots, further enriching the phase diagram. Our study is conducted analytically based on effective birth-death dynamics for the number of individuals holding a given opinion. Results are confirmed in numerical simulations.},
  archivePrefix = {arXiv},
  eprint = {2007.07535},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/R78X6UXE/Khalil and Galla - 2020 - Zealots in multi-state noisy voter models.pdf},
  journal = {arXiv:2007.07535 [cond-mat, physics:physics]},
  language = {en},
  primaryClass = {cond-mat, physics:physics}
}

@techreport{khamzinaSpeakingoutMigrationCrisis2020,
  title = {Speaking-out on the Migration Crisis or Remaining Silent? {{The}} Importance of the Interplay between Personal Attitudes and Perceived Group Norms},
  shorttitle = {Speaking-out on the Migration Crisis or Remaining Silent?},
  author = {Khamzina, Kamilla and Cougnon, Louise-Am{\'e}lie and Guimond, Serge},
  year = {2020},
  month = jul,
  institution = {{SocArXiv}},
  doi = {10.31235/osf.io/dhfj3},
  abstract = {Social psychological and semantic perspectives were used to examine Europeans' attitudes and perception of group norms on the migration crisis in Europe. Overall, results from both approaches revealed that Europeans are personally less hostile on the immigration issue than they perceive others to be. Moreover, such a mismatch shapes their speaking-out behaviors, and level of identification with Europe moderates it, yielding a conformity orientation among low identifiers and a resistance among high ones. The questions related to actual level of identification and minority influence and its implications for the public opinion dynamics on the immigration issue are discussed.},
  file = {/home/aleksandar/Zotero/storage/F46L4QP9/Khamzina et al. - 2020 - Speaking-out on the migration crisis or remaining .pdf},
  language = {en},
  type = {Preprint}
}

@article{khanamHomophilyPrincipleSocial2020,
  title = {The {{Homophily Principle}} in {{Social Network Analysis}}},
  author = {Khanam, Kazi Zainab and Srivastava, Gautam and Mago, Vijay},
  year = {2020},
  month = aug,
  abstract = {In recent years, social media has become a ubiquitous and integral part of social networking. One of the major attentions made by social researchers is the tendency of like-minded people to interact with one another in social groups, a concept which is known as Homophily. The study of homophily can provide eminent insights into the flow of information and behaviors within a society and this has been extremely useful in analyzing the formations of online communities. In this paper, we review and survey the effect of homophily in social networks and summarize the state of art methods that has been proposed in the past years to identify and measure the effect of homophily in multiple types of social networks and we conclude with a critical discussion of open challenges and directions for future research.},
  archivePrefix = {arXiv},
  eprint = {2008.10383},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/P8LVDFJQ/Khanam et al_2020_The Homophily Principle in Social Network Analysis.pdf;/home/aleksandar/Zotero/storage/8UHWIS2N/2008.html},
  journal = {arXiv:2008.10383 [physics]},
  primaryClass = {physics}
}

@misc{khanPredictingPoliticianSupporters2020,
  title = {Predicting {{Politician}}'s {{Supporters}}' {{Network}} on {{Twitter Using Social Network Analysis}} and {{Semantic Analysis}}},
  author = {Khan, Asif and Zhang, Huaping and Shang, Jianyun and Boudjellal, Nada and Ahmad, Arshad and Ali, Asmat and Dai, Lin},
  year = {2020},
  month = sep,
  volume = {2020},
  pages = {e9353120},
  publisher = {{Hindawi}},
  issn = {1058-9244},
  doi = {10.1155/2020/9353120},
  abstract = {Politics is one of the hottest and most commonly mentioned and viewed topics on social media networks nowadays. Microblogging platforms like Twitter and Weibo are widely used by many politicians who have a huge number of followers and supporters on those platforms. It is essential to study the supporters' network of political leaders because it can help in decision making when predicting their political futures. This study focuses on the supporters' network of three famous political leaders of Pakistan, namely, Imran Khan (IK), Maryam Nawaz Sharif (MNS), and Bilawal Bhutto Zardari (BBZ). This is done using social network analysis and semantic analysis. The proposed method (1) detects and removes fake supporter(s), (2) mines communities in the politicians' social network(s), (3) investigates the supporters' reply network for conversations between supporters about each leader, and, finally, (4) analyses the retweet network for information diffusion of each political leader. Furthermore, sentiment analysis of the supporters of politicians is done using machine learning techniques, which ultimately predicted and revealed the strongest supporter network(s) among the three political leaders. Analysis of this data reveals that as of October 2017 (1) IK was the most renowned of the three politicians and had the strongest supporter's community while using Twitter in a very controlled manner, (2) BBZ had the weakest supporters' network on Twitter, and (3) the supporters of the political leaders in Pakistan are flexible on Twitter, communicating with each other, and that any group of supporters has a low level of isolation.},
  file = {/home/aleksandar/Zotero/storage/Y3BNSISC/Khan et al_2020_Predicting Politician’s Supporters’ Network on Twitter Using Social Network.pdf;/home/aleksandar/Zotero/storage/2EU3U4JR/9353120.html},
  howpublished = {https://www.hindawi.com/journals/sp/2020/9353120/},
  journal = {Scientific Programming},
  language = {en},
  type = {Research {{Article}}}
}

@article{kheirkhahzadehCommunityDetectionSocial2019,
  title = {Community {{Detection}} in {{Social Networks Using Consensus Clustering}}},
  author = {Kheirkhahzadeh, Masoumeh and Analoui, Morteza},
  year = {2019},
  month = dec,
  volume = {7},
  pages = {864--884},
  issn = {2310-5070, 2311-004X},
  doi = {10.19139/soic-2310-5070-801},
  abstract = {Community detection is one of the most appealing research fields in computer science. Although many different methods have been proposed to cluster the nodes of a graph, none of these methods is complete. Each method has strengths and weaknesses in extracting highly coherent groups of nodes (i.e. communities or clusters). The differences that various methods show are typically due to two main factors: 1) structure of the network they operate on, and 2) the strategy they use to find clusters. Since none of these methods is optimal, it seems a good idea to combine them to take advantage of their strengths while minimizing their weaknesses. In this paper, we present a new approach for the community detection problem by considering an ensemble of community detection methods. We refer to our approach as ``Mitra''. The base methods employed in Mitra, use different techniques and strategies to find communities for different applications of network data analysis. Mitra employs some known base community detection methods, receives their results on a network and builds a bipartite network to combine the communities found by the base methods. Then the fast projection technique compresses and summarizes the bipartite network to a new unipartite one. Then we find the communities of the unipartite network in the final step. We evaluate our approach against real and artificial datasets and compare our method with each one of the base methods. Artificial datasets include a diverse collection of large scale benchmark graphs. In this work, the main experimental evaluation function is Normalized Mutual Information (NMI). We also use several measures to compare the quality and properties of final community structures of the partitions found by all methods.},
  file = {/home/aleksandar/Dropbox/Zotero/Kheirkhahzadeh_Analoui/Kheirkhahzadeh_Analoui_2019_Community Detection in Social Networks Using Consensus Clustering.pdf},
  journal = {Statistics, Optimization \& Information Computing},
  language = {en},
  number = {4}
}

@article{kheirkhahzadehConsensusClusteringMethod2020,
  title = {A {{Consensus Clustering Method}} for {{Clustering Social Networks}}},
  author = {Kheirkhahzadeh, Masoumeh and Analoui, Morteza},
  year = {2020},
  month = feb,
  volume = {8},
  pages = {254--271},
  issn = {2310-5070, 2311-004X},
  doi = {10.19139/soic-2310-5070-716},
  abstract = {Detecting Communities in networks is one of the appealing fields in computer science. A wide range of methods are proposed for this problem. These methods employ different strategies and optimization functions to detect communities (or clusters). Therefore, it seems a good idea to combine these strategies to take advantage of the strengths of the methods and overcome their problems. This is the idea behind consensus clustering technique which combines several clustering results into one. In this paper, we propose a very good-performing method based on consensus clustering to detect communities of a network. Our method, called Azar, employed several community detection methods as base methods. Then Azar generates a new compressed network based on the common views of the used base methods and, gives this new compressed network to the last community detection method to find the final partition. We evaluate our approach by employing real and artificial datasets. The implementation results compare the base methods with Azar according to accuracy measures such as modularity and Normalized Mutual Information (NMI). The results show the good-performing behavior of Azar even for the most difficult networks. The results show the brilliant power of Azar in comparison with all the other methods.},
  journal = {Statistics, Optimization \& Information Computing},
  language = {en},
  number = {1}
}

@techreport{kileyMeasuringStabilityChange2020,
  title = {Measuring {{Stability}} and {{Change}} in {{Personal Culture Using Panel Data}}},
  author = {Kiley, Kevin and Vaisey, Stephen},
  year = {2020},
  month = mar,
  institution = {{SocArXiv}},
  doi = {10.31235/osf.io/8za35},
  abstract = {Models of population-wide cultural change tend to invoke one of two broad models of individual change. One approach theorizes that people actively update their beliefs and behaviors in the face of new information. The other argues that, following early socialization experiences, dispositions are stable. We formalize these two models, elaborate empirical implications of each, and derive a simple combined model for comparing them using panel data. We test this model on 183 attitude and behavior items from the 2006-14 rotating panels of the General Social Survey. Though the pattern of results is complex, it is somewhat more consistent with the settled dispositions model than the active updating model. Most observed change in the GSS appears to be short-term attitude change or measurement error rather than persisting changes. When persistent change occurs, it is somewhat more likely to occur in younger people than older people and more common for public behaviors and beliefs about high-profile issues than private attitudes. We argue that we need both models in our theory of cultural evolution but that we need more research on the circumstances under which each is more likely to apply.},
  file = {/home/aleksandar/Dropbox/Zotero/Kiley_Vaisey/Kiley_Vaisey_2020_Measuring Stability and Change in Personal Culture Using Panel Data.pdf},
  language = {en},
  type = {Preprint}
}

@article{kileyMeasuringStabilityChange2020a,
  title = {Measuring {{Stability}} and {{Change}} in {{Personal Culture Using Panel Data}}},
  author = {Kiley, Kevin and Vaisey, Stephen},
  year = {2020},
  month = jun,
  volume = {85},
  pages = {477--506},
  publisher = {{SAGE Publications Inc}},
  issn = {0003-1224},
  doi = {10.1177/0003122420921538},
  abstract = {Models of population-wide cultural change tend to invoke one of two broad models of individual change. One approach theorizes people actively updating their beliefs and behaviors in the face of new information. The other argues that, following early socialization experiences, dispositions are stable. We formalize these two models, elaborate empirical implications of each, and derive a simple combined model for comparing them using panel data. We test this model on 183 attitude and behavior items from the 2006 to 2014 rotating panels of the General Social Survey. The pattern of results is complex but more consistent with the settled dispositions model than with the active updating model. Most of the observed change in the GSS appears to be short-term attitude change or measurement error rather than persisting changes. When persistent change occurs, it is somewhat more likely to occur in younger people and for public behaviors and beliefs about high-profile issues than for private attitudes. We argue that we need both models in our theory of cultural evolution but that we need more research on the circumstances under which each is more likely to apply.},
  file = {/home/aleksandar/Zotero/storage/NY2GIGI8/Kiley_Vaisey_2020_Measuring Stability and Change in Personal Culture Using Panel Data.pdf},
  journal = {American Sociological Review},
  keywords = {attitude change,cultural change,panel data,public opinion,socialization},
  language = {en},
  number = {3}
}

@article{kimCOMPARINGGOVERNMENTPERFORMANCE,
  title = {{{COMPARING GOVERNMENT PERFORMANCE INDICATORS}}: {{A FUZZY}}-{{SET ANALYSIS}}},
  author = {Kim, Phil and Im, Tobin},
  pages = {14},
  abstract = {National governments rely on global performance indicators to grasp the current status and to build future strategies. However, no previous study has investigated pathways to government performance in terms of various indices empirically. With five possible determinants that are trait competitiveness, change-oriented citizenship behavior (CO-OCB), public service motivation (PSM), organizational identification (OI), and corruption tolerance, we try to find sufficient configurations to three representative government performance indicators which are ``Government Effectiveness'' (WGI), ``Government Efficiency'' (GCI), and ``Throughput'' (GC). The results indicate that three performance indicators are distinguished from one another with regard to the number of contributing factors to sufficient configurations, the role of ``innovation-inclined'' factors, and the role of corruption tolerance.},
  language = {en}
}

@article{kimComparingMethodsMultilevel2019,
  title = {Comparing {{Methods}} for {{Multilevel Moderated Mediation}}: {{A Decomposed}}-First {{Strategy}}},
  shorttitle = {Comparing {{Methods}} for {{Multilevel Moderated Mediation}}},
  author = {Kim, Soyoung and Hong, Sehee},
  year = {2019},
  month = nov,
  volume = {0},
  pages = {1--17},
  issn = {1070-5511},
  doi = {10.1080/10705511.2019.1683015},
  abstract = {The purpose of this study is to propose a decomposed-first strategy for multilevel moderated mediation and to compare the performance of three moderated mediation approaches in multilevel structural equation modeling. The following approaches were compared in simulations to test coefficients that were decomposed level by level: orthogonal partitioning with centering within cluster, random coefficient prediction, and latent moderated structural equations. The manipulated conditions for the simulation analysis were the analysis method, the number of groups, group size, and intraclass correlation. The results showed that, for samples consisting of a large number of groups, a large average group size and a large intraclass correlation, LMS had the strongest performance. This study is meaningful in that it produces interpretable coefficients by applying a decomposed-first strategy in multilevel moderated mediation and extends a basic moderated mediation model to include more specific research questions in multilevel structural equation modeling.},
  journal = {Structural Equation Modeling: A Multidisciplinary Journal},
  number = {0}
}

@article{kimGainScoresRevisited2019,
  title = {Gain {{Scores Revisited}}: {{A Graphical Models Perspective}}},
  shorttitle = {Gain {{Scores Revisited}}},
  author = {Kim, Yongnam and Steiner, Peter M.},
  year = {2019},
  month = feb,
  pages = {0049124119826155},
  issn = {0049-1241},
  doi = {10.1177/0049124119826155},
  abstract = {For misguided reasons, social scientists have long been reluctant to use gain scores for estimating causal effects. This article develops graphical models and graph-based arguments to show that gain score methods are a viable strategy for identifying causal treatment effects in observational studies. The proposed graphical models reveal that gain score methods rely on a bias-removing mechanism that is quite different to regular matching or covariance adjustment. While gain score methods offset noncausal associations via differencing, matching or covariance adjustment blocks noncausal association via conditioning. Since gain score estimators do not rely on conditioning, they are immune to measurement error in the pretest, bias amplification, and collider bias. The graph-based arguments also demonstrate that the key identifying assumption for gain score methods, the common trend assumption, is difficult to assess and justify when the pretest causally affects treatment assignment. Finally, we discuss the distinct role of pretests in the context of Lord's paradox.},
  journal = {Sociological Methods \& Research},
  language = {en}
}

@article{kimuraCABNCCorrespondenceAnalysis2019,
  title = {{{CAB}}-{{NC}}: {{The Correspondence Analysis Based Network Clustering Method}}},
  author = {Kimura, Masaomi},
  year = {2019},
  pages = {2},
  abstract = {Finding clusters in a network has been practically important in many applications and was studied by many researchers. Most commonly used methods are spectral clustering and Newman's modularity maximization. However, there has been no unified view of them. In this study, we introduced a new guiding principle based on correspondence analysis to obtain nodes' coordinates and discussed its equivalence to spectral clustering and its relationship to Newman's modularity.},
  language = {en}
}

@book{kindermannMarkovRandomFields1980,
  title = {Markov Random Fields and Their Applications},
  author = {Kindermann, Ross and Snell, J. Laurie},
  year = {1980},
  publisher = {{American Mathematical Society}},
  address = {{Providence, R.I}},
  collaborator = {American Mathematical Society},
  isbn = {978-0-8218-5001-5},
  lccn = {QA274.45 .K56},
  series = {Contemporary Mathematics ; v. 1}
}

@article{kingAntagonismAusterityDecember2014,
  title = {Antagonism and Austerity: {{The December}} 2012 {{Romanian}} Parliamentary Elections},
  shorttitle = {Antagonism and Austerity},
  author = {King, Ronald F. and Marian, Cosmin Gabriel},
  year = {2014},
  month = jun,
  volume = {34},
  pages = {310--315},
  issn = {02613794},
  doi = {10.1016/j.electstud.2013.09.012},
  journal = {Electoral Studies},
  language = {en}
}

@article{kirkleyInformationTheoreticNetwork2020,
  title = {Information Theoretic Network Approach to Socioeconomic Correlations},
  author = {Kirkley, Alec},
  year = {2020},
  month = nov,
  volume = {2},
  pages = {043212},
  publisher = {{American Physical Society}},
  doi = {10.1103/PhysRevResearch.2.043212},
  abstract = {Due to its wide reaching implications for everything from identifying hot spots of income inequality to political redistricting, there is a rich body of literature across the sciences quantifying spatial patterns in socioeconomic data. In particular, the variability of indicators relevant to social and economic well-being between localized populations is of great interest, as it pertains to the spatial manifestations of inequality and segregation. However, heterogeneity in population density, sensitivity of statistical analyses to spatial aggregation, and the importance of predrawn political boundaries for policy intervention may decrease the efficacy and relevance of existing methods for analyzing spatial socioeconomic data. Additionally, these measures commonly lack either a framework for comparing results for qualitative and quantitative data on the same scale, or a mechanism for generalization to multiregion correlations. To mitigate these issues associated with traditional spatial measures, here we view local deviations in socioeconomic variables from a topological lens rather than a spatial one, and use an information theoretic network approach based on the generalized Jensen-Shannon divergence to distinguish distributional quantities across adjacent regions. We apply our methodology in a series of experiments to study the network of neighboring census tracts in the continental US, quantifying the decay in two-point distributional correlations across the network, examining the county-level socioeconomic disparities induced from the aggregation of tracts, and constructing an algorithm for the division of a city into homogeneous clusters. These results provide a framework for analyzing the variation of attributes across regional populations and shed light on universal patterns in socioeconomic attributes.},
  file = {/home/aleksandar/Documents/Zotero/Kirkley/Kirkley_2020_Information theoretic network approach to socioeconomic correlations.pdf},
  journal = {Physical Review Research},
  number = {4}
}

@article{kirkleyMessagePassingProbabilistic2020,
  title = {Message Passing for Probabilistic Models on Networks with Loops},
  author = {Kirkley, Alec and Cantwell, George T. and Newman, M. E. J.},
  year = {2020},
  month = sep,
  abstract = {In this paper, we extend a recently proposed framework for message passing on "loopy" networks to the solution of probabilistic models. We derive a self-consistent set of message passing equations that allow for fast computation of probability distributions in systems that contain short loops, potentially with high density, as well as expressions for the entropy and partition function of such systems, which are notoriously difficult quantities to compute. Using the Ising model as an example, we show that our solutions are asymptotically exact on certain classes of networks with short loops and offer a good approximation on more general networks, improving significantly on results derived from standard belief propagation. We also discuss potential applications of our method to a variety of other problems.},
  archivePrefix = {arXiv},
  eprint = {2009.12246},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Kirkley et al/Kirkley et al_2020_Message passing for probabilistic models on networks with loops.pdf;/home/aleksandar/Zotero/storage/IWTALNNG/2009.html},
  journal = {arXiv:2009.12246 [cond-mat]},
  primaryClass = {cond-mat}
}

@article{kiteSexDifferencesAttitudes1996,
  title = {Sex {{Differences}} in {{Attitudes Toward Homosexual Persons}}, {{Behaviors}}, and {{Civil Rights A Meta}}-{{Analysis}}},
  author = {Kite, Mary E. and Whitley, Bernard E.},
  year = {1996},
  month = apr,
  volume = {22},
  pages = {336--353},
  issn = {0146-1672},
  doi = {10.1177/0146167296224002},
  abstract = {Meta-analytic techniques were used to compare men's and women's attitudes toward homosexual persons, homosexual behaviors, and gay people's civil rights. As expected, size of sex differences varied across these categories. Men were more negative than women toward homosexual persons and homosexual behavior, but the sexes viewed gay civil rights similarly. Men's attitudes toward homosexual persons were particularly negative when the person being rated was a gay man or of unspecified sex. Women and men evaluated lesbians similarly. Ratings of homosexual persons and homosexual behavior were least likely to differ by subject sex for samples of nonprofessional adults. In addition, sex role attitude mediated sex differences in attitudes toward homosexuality. Biases in the research literature and areas that deserve further attention, such as the confounding of sample with measurement strategy and the tendency to study gay men or targets of unspecified sex, are discussed.},
  journal = {Personality and Social Psychology Bulletin},
  language = {en},
  number = {4}
}

@incollection{kitscheletDivergentPathsPostcommunist2001,
  title = {Divergent Paths of Postcommunist Democracies},
  booktitle = {Political Parties and Democracy},
  author = {Kitschelet, H.},
  editor = {Diamond, Larry and Plattner, M.F.},
  year = {2001},
  pages = {299--323},
  publisher = {{John Hopkins University Press}},
  address = {{Baltimore}}
}

@incollection{kitscheltDivergentPathsPostcommunist2001,
  title = {Divergent Paths of Post-Communist Democracies},
  booktitle = {Political Parties and Democracy},
  author = {Kitschelt, Herbert},
  editor = {Diamond, Larry and Plattner, M F},
  year = {2001},
  pages = {299--323},
  publisher = {{John Hopkins University Press}},
  address = {{Baltimore}}
}

@article{klamutUniversalMeasureComplexity2020,
  ids = {klamutUniversalMeasureComplexity2020a},
  title = {Towards a {{Universal Measure}} of {{Complexity}}},
  author = {Klamut, Jaros{\l}aw and Kutner, Ryszard and Struzik, Zbigniew R.},
  year = {2020},
  month = jun,
  abstract = {Recently it has been argued that entropy can be a direct measure of complexity, where the smaller value of entropy indicates lower system complexity, while its larger value indicates higher system complexity. We dispute this view and propose a universal measure of complexity based on the Gell-Mann's view of complexity. Our universal measure of complexity bases on a non-linear transformation of time-dependent entropy, where the system state with the highest complexity is the most distant from all the states of the system of lesser or no complexity. We have shown that the most complex is optimally mixed states consisting of pure states i.e., of the most regular and most disordered which the space of states of a given system allows. A parsimonious paradigmatic example of the simplest system with a small and a large number of degrees of freedom, is shown to support this methodology. Several important features of this universal measure are pointed out, especially its flexibility (i.e., its openness to extensions), ability to the analysis of a system critical behavior, and ability to study the dynamic complexity.},
  archivePrefix = {arXiv},
  eprint = {2006.01900},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Klamut et al/Klamut et al_2020_Towards a Universal Measure of Complexity.pdf;/home/aleksandar/Dropbox/Zotero/Klamut et al/Klamut et al_2020_Towards a Universal Measure of Complexity2.pdf;/home/aleksandar/Zotero/storage/2Z3PAFVR/2006.html;/home/aleksandar/Zotero/storage/89MEPP8S/2006.html},
  journal = {arXiv:2006.01900 [cond-mat, physics:physics]},
  primaryClass = {cond-mat, physics:physics}
}

@article{kleespiesExploringConstructRelational2020,
  title = {Exploring the {{Construct}} of {{Relational Values}}: {{An Empirical Approach}}},
  shorttitle = {Exploring the {{Construct}} of {{Relational Values}}},
  author = {Kleespies, Matthias Winfried and Dierkes, Paul Wilhelm},
  year = {2020},
  month = mar,
  volume = {11},
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2020.00209},
  abstract = {In recent environmental research, relational values (RVs) have emerged as a new group of values to explain environmental behavior. Although this new concept is attracting attention, empirical studies on the subject are still rare. On this basis, we have conducted three studies to analyze an existing measurement tool for RVs and compared the construct with the concept of connection to nature. In study 1, we confirmed convergent and discriminant validity of the RV scale by comparing it with the Two Factor Model of Environmental Values (2-MEV) model using a sample of n = 350 university students. Additionally, study 1 verified reliability using test\textendash retest reliability on three different groups of students (n1 = 53; n2 = 37; n3 = 48). In study 2, principal component analyses were performed to examine the structure of RVs and to compare it to the concept of connection to nature by reusing the sample 350 university students from study 1. The results show that RVs and connection to nature are not fundamentally distinct constructs, but overlap. However, if the structure of the RV measurement is forced to a single factor, no perfect fit is found, making a multidimensional solution more likely. A third study was conducted to review the results from study 2 using confirmatory factor analysis on a new sample of 878 university and high school students. Study 3 confirmed RVs as a multidimensional construct with three factors: care, community, and connection. It also proved the overlap of the connection to nature and RV concepts to some extent.},
  journal = {Frontiers in Psychology},
  pmcid = {PMC7083099},
  pmid = {null}
}

@article{klicperova-bakerPostcommunistDemocracyVs,
  title = {Post-Communist Democracy vs. Totalitarianism: {{Contrasting}} Patterns of Need Satisfaction and Societal Frustration},
  author = {{Klicperova-Baker}, Martina and Ko{\v s}{\v t}{\'a}l, Jaroslav},
  doi = {S0967067X17300132},
  abstract = {Frustration/satisfaction under the post-Communist democracy and under the pre-1989 Communist authoritarianism were studied in the Czech Republic in 2008 using a nationwide sample of 1093 respondents and an original Societal Frustration inventory. The patterns of frustration were contrastingly opposite: The past was dominated by the memory of oppression, of curtailed self-actualization yet fulfilled basic needs. In contrast, current democracy allowed for free self-actualization but the intensity of the current frustrations has exceeded the past frustrating memories. Main current complaints included a) general insecurity, lack of fulfillment of basic needs; b) corruption, low political culture, decline of civility (rudeness, envy, and ethnic intolerance). The results and their discussion help to explain the psychology of Communism, post-Communism, transition, and democratic consolidation.},
  journal = {Communist and Post-Communist Studies}
}

@article{klicperova-bakerPostcommunistDemocracyVsa,
  title = {Post-Communist Democracy vs. Totalitarianism: {{Contrasting}} Patterns of Need Satisfaction and Societal Frustration},
  author = {{Klicperova-Baker}, Martina and Ko{\v s}{\v t}{\'a}l, Jaroslav},
  doi = {S0967067X17300132},
  abstract = {Frustration/satisfaction under the post-Communist democracy and under the pre-1989 Communist authoritarianism were studied in the Czech Republic in 2008 using a nationwide sample of 1093 respondents and an original Societal Frustration inventory. The patterns of frustration were contrastingly opposite: The past was dominated by the memory of oppression, of curtailed self-actualization yet fulfilled basic needs. In contrast, current democracy allowed for free self-actualization but the intensity of the current frustrations has exceeded the past frustrating memories. Main current complaints included a) general insecurity, lack of fulfillment of basic needs; b) corruption, low political culture, decline of civility (rudeness, envy, and ethnic intolerance). The results and their discussion help to explain the psychology of Communism, post-Communism, transition, and democratic consolidation.},
  journal = {Communist and Post-Communist Studies}
}

@inproceedings{knoppen2009evaluation,
  title = {Evaluation of the Portrait Values Questionnaire Using {{SEM}}: {{A}} New {{ESS}} Proposal},
  booktitle = {{{QMSS2}} Seminar},
  author = {Knoppen, Desir{\'e}e and Saris, Willem},
  year = {2009},
  volume = {1112},
  address = {{Bolzano, Italy}},
  file = {/home/aleksandar/Dropbox/Zotero/Knoppen_Saris/Knoppen_Saris_2009_Evaluation of the portrait values questionnaire using SEM.pdf}
}

@article{knoppenSchwartzTheoryHuman2009,
  title = {Schwartz's {{Theory}} of {{Human Values}}: {{Balancing Homogeneity}} of {{Reflective Items}} and {{Theoretical Coverage}}},
  author = {Knoppen, D. and Saris, W. E.},
  year = {2009},
  abstract = {Schwartz's theory of human values, as operationalized using different instruments such as the Portrait Values Questionnaire and the European Social Survey, was confirmed by multiple studies using Smallest Space Analysis (SSA). However, initial tests based on Confirmatory Factor Analysis (CFA) pointed to low discriminant validity of the 10 basic values. Our hypothesis is that this is not an intrinsic characteristic of the values studied, but rather the result of the selection strategy of items that maximizes theoretical coverage but pays less attention to the homogeneity of items. This hypothesis is confirmed for the Portrait Values Questionnaire in multiple tests with data from two samples. Consequently, we propose an alternative structure that consists of 15 more specific values: Tradition, Humility, Self-restraint, Norm- following, Societal security, Power, Achieving goals, Achieving recognition, Hedonism, Autonomy of action, Autonomy of thought, Stimulation, Social equality, Preservation of nature, and Benevolence. The proposal respects the conceptual complexity of the values theory and the circular structure that orders the values, but avoids contamination of composite scores and increases their predictive power. Implications for further development of the scale are drawn.},
  file = {/home/aleksandar/Dropbox/Zotero/Knoppen_Saris/Knoppen_Saris_2009_Schwartz’s Theory of Human Values.pdf},
  journal = {RECSM Working Paper Number 9}
}

@article{knoppenWeHaveCombine,
  title = {Do We Have to Combine {{Values}} in the {{Schwartz}}' {{Human Values Scale}}? {{A Comment}} on the {{Davidov Studies}}},
  author = {Knoppen, Desiree and Saris, Willem},
  pages = {13},
  abstract = {This paper addresses the question if it is meaningful to group basic values from the values model of Schwartz, which is a vital component of the European Social Survey (ESS), and presents an alternative approach. The suggestion to group values is raised in several studies led by Eldad Davidov, which more precisely conclude that only four of the original ten values can be studied as such (Hedonism, Stimulation, Self-direction, and Security), whereas the remaining six values have to be grouped in three pairs in order to solve the problem of a lack of discriminant validity. This paper indicates that the grouping was necessary because of the choice strategy of items for the ESS. The items chosen for the different values are chosen in such a way that the correlation within the value is relatively low and sometimes the correlations with items of other values is higher. We show this in three steps: the first one based on a German-study, looking for the correlation between the values in the original Portrait Values Questionnaire (PVQ). Secondly, the ESS selection from this wider set of items is used to show that this choice leads to much higher correlations between the values. Thirdly, an analysis with an alternative choice from the same PVQ set of items is done to show that this high correlation is not necessary. In this way we show that the high correlation between the values in the ESS is due to the selection of the items in the ESS and is not intrinsic to the values studied.},
  file = {/home/aleksandar/Dropbox/Zotero/Knoppen_Saris/Knoppen_Saris_Do we have to combine Values in the Schwartz’ Human Values Scale.pdf},
  language = {en}
}

@article{knutsenValueOrientationsPolitical1995,
  title = {Value Orientations, Political Conflicts and Left-Right Identification: {{A}} Comparative Study},
  shorttitle = {Value Orientations, Political Conflicts and Left-Right Identification},
  author = {Knutsen, Oddbjorn},
  year = {1995},
  month = jul,
  volume = {28},
  pages = {63--93},
  issn = {0304-4130, 1475-6765},
  doi = {10.1111/j.1475-6765.1995.tb00487.x},
  journal = {European Journal of Political Research},
  language = {en},
  number = {1}
}

@article{kochABCStereotypesGroups2016,
  title = {The {{ABC}} of Stereotypes about Groups: {{Agency}}/Socioeconomic Success, Conservative\textendash Progressive Beliefs, and Communion},
  shorttitle = {The {{ABC}} of Stereotypes about Groups},
  author = {Koch, Alex and Imhoff, Roland and Dotsch, Ron and Unkelbach, Christian and Alves, Hans},
  year = {2016},
  volume = {110},
  pages = {675--709},
  issn = {1939-1315(Electronic),0022-3514(Print)},
  doi = {10.1037/pspa0000046},
  abstract = {Previous research argued that stereotypes differ primarily on the 2 dimensions of warmth/communion and competence/agency. We identify an empirical gap in support for this notion. The theoretical model constrains stereotypes a priori to these 2 dimensions; without this constraint, participants might spontaneously employ other relevant dimensions. We fill this gap by complementing the existing theory-driven approaches with a data-driven approach that allows an estimation of the spontaneously employed dimensions of stereotyping. Seven studies (total N = 4,451) show that people organize social groups primarily based on their agency/socioeconomic success (A), and as a second dimension, based on their conservative\textendash progressive beliefs (B). Communion (C) is not found as a dimension by its own, but rather as an emergent quality in the two-dimensional space of A and B, resulting in a 2D ABC model of stereotype content about social groups. (PsycINFO Database Record (c) 2016 APA, all rights reserved)},
  journal = {Journal of Personality and Social Psychology},
  number = {5}
}

@article{koivulaRolePoliticalActivity2019,
  title = {The {{Role}} of {{Political Activity}} in the {{Formation}} of {{Online Identity Bubbles}}},
  author = {Koivula, Aki and Kaakinen, Markus and Oksanen, Atte and R{\"a}s{\"a}nen, Pekka},
  year = {2019},
  month = jul,
  pages = {poi3.211},
  issn = {1944-2866, 1944-2866},
  doi = {10.1002/poi3.211},
  journal = {Policy \& Internet},
  language = {en}
}

@article{kokSparseExtendedRedundancy2019,
  title = {Sparse {{Extended Redundancy Analysis}}: {{Variable Selection}} via the {{Exclusive LASSO}}},
  shorttitle = {Sparse {{Extended Redundancy Analysis}}},
  author = {Kok, Bing Cai and Choi, Ji Sok and Oh, Hyelim and Choi, Ji Yeh},
  year = {2019},
  month = nov,
  volume = {0},
  pages = {1--21},
  issn = {0027-3171},
  doi = {10.1080/00273171.2019.1694477},
  abstract = {Extended Redundancy Analysis is a statistical tool for exploring the directional relationships of multiple sets of exogenous variables on a set of endogenous variables. This approach posits that the endogenous and exogenous variables are related via latent components, each of which is extracted from a set of exogenous variables, that account for the maximum variation of the endogenous variables. However, it is often difficult to distinguish between the true variables that form the latent components and the false variables that do not, especially when the association between the true variables and the exogenous set is weak. To overcome this limitation, we propose a Sparse Extended Redundancy Analysis via the Exclusive LASSO that performs variable selection while maintaining model specification. We validate the performance of the proposed approach in a simulation study. Finally, the empirical utility of this approach is demonstrated through two examples\textemdash one on a study of youth academic achievement and the other on a text analysis of newspaper data.},
  file = {/home/aleksandar/Dropbox/Zotero/Kok et al/Kok et al_2019_Sparse Extended Redundancy Analysis.pdf},
  journal = {Multivariate Behavioral Research},
  number = {0},
  pmid = {31777286}
}

@article{kolczynskaDemocraticValuesEducation2020,
  title = {Democratic Values, Education, and Political Trust},
  author = {Ko{\l}czy{\'n}ska, Marta},
  year = {2020},
  month = mar,
  pages = {0020715220909881},
  publisher = {{SAGE Publications Ltd}},
  issn = {0020-7152},
  doi = {10.1177/0020715220909881},
  abstract = {This article examines the links between education, democratic values, and political trust. Research on education systems as carriers of modern orientations and democratic values worldwide predicts that educated individuals will exhibit more democratic values than less educated ones, regardless of the country's level of democracy. In the political culture approach, political trust can be understood as a reflection of the congruence or incongruence between individual democratic values and the level of democracy of the political system, which emphasizes trust's relational character. Integrating these strands of literature, I formulate hypotheses about the mediating effect of democratic values between education and political trust. To test these hypotheses, I employ multilevel models of data from the World Values Survey and the European Values Study covering 73 countries. The results show that democratic values partially mediate the effect of education on political trust, but the magnitude of this effect depends on the level of democracy. Analyses also show that, while education is positively associated with democratic values regardless of the country's level of democracy, this association is much stronger in democratic countries than in non-democratic ones.},
  journal = {International Journal of Comparative Sociology},
  language = {en}
}

@book{kollmanConstituencylevelElectionsArchive2018,
  title = {Constituency-Level Elections Archive},
  author = {Kollman, Ken and Hicken, Allen and Caramani, Daniele and Backer, David and Lublin, David},
  year = {2018},
  publisher = {{Center for Political Studies, University of Michigan}},
  address = {{Michigan}}
}

@inproceedings{koltcovHowManyClusters2020,
  title = {How {{Many Clusters}}? {{An Entropic Approach}} to {{Hierarchical Cluster Analysis}}},
  shorttitle = {How {{Many Clusters}}?},
  booktitle = {Intelligent {{Computing}}},
  author = {Koltcov, Sergei and Ignatenko, Vera and Pashakhin, Sergei},
  editor = {Arai, Kohei and Kapoor, Supriya and Bhatia, Rahul},
  year = {2020},
  pages = {560--569},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-52243-8_40},
  abstract = {Clustering large and heterogeneous data of user-profiles from social media is problematic as the problem of finding the optimal number of clusters becomes more critical than for clustering smaller and homogeneous data. We propose a new approach based on the deformed R\'enyi entropy for determining the optimal number of clusters in hierarchical clustering of user-profile data. Our results show that this approach allows us to estimate R\'enyi entropy for each level of a hierarchical model and find the entropy minimum (information maximum). Our approach also shows that solutions with the lowest and the highest number of clusters correspond to the entropy maxima (minima of information).},
  isbn = {978-3-030-52243-8},
  language = {en},
  series = {Advances in {{Intelligent Systems}} and {{Computing}}}
}

@article{komsicConsolidatingDemocracyTireless2004,
  title = {Consolidating Democracy and (or) Tireless Institutional Experimentation},
  author = {Kom{\v s}i{\'c}, Jovan},
  year = {2004},
  volume = {38},
  pages = {153--175},
  issn = {0085-6320},
  doi = {10.5937/socpreg0402153K},
  journal = {Sociolo\v{s}ki pregled},
  language = {en},
  number = {1-2}
}

@inproceedings{kongUnifiedInformationDiffusion2020,
  title = {A {{Unified Information Diffusion Model}} for {{Social Networks}}},
  booktitle = {2020 {{IEEE Fifth International Conference}} on {{Data Science}} in {{Cyberspace}} ({{DSC}})},
  author = {Kong, Xiangyi and Gu, Zhaoquan and Yin, Lihua},
  year = {2020},
  month = jul,
  pages = {38--44},
  doi = {10.1109/DSC50466.2020.00014},
  abstract = {Modeling information diffusion for social networks enables analyzing and predicting the impact on a specific topic or event. Most existing information diffusion models only take information influence or diffusion among the network users independently into consideration, which can hardly depict the diffusion in a booming large-scale and complex social network. In this paper, we propose a unified information diffusion model which jointly combines information influence and the diffusion process. Based on the unified model, most existing diffusion models can be reconstructed and implemented easily by setting influence and diffusion functions. In this paper, we use this model reconstructed five traditional models and we evaluate the model with a real collected dataset of 2.2 million blogs and the results show that the unified model can be adopted easily to fulfill classic diffusion models. Furthermore, the model sheds light on designing novel explainable information model in the future.},
  file = {/home/aleksandar/Zotero/storage/6ZK6ITCG/9172885.html}
}

@article{konitzerParliamentaryElectionSerbia2009,
  title = {The Parliamentary Election in {{Serbia}}, {{May}} 2008},
  author = {Konitzer, Andrew},
  year = {2009},
  month = mar,
  volume = {28},
  pages = {141--145},
  issn = {02613794},
  doi = {10.1016/j.electstud.2008.09.005},
  journal = {Electoral Studies},
  language = {en},
  number = {1}
}

@article{konitzerParliamentaryElectionSerbia2014,
  title = {The Parliamentary Election in {{Serbia}}, {{March}} 2014},
  author = {Konitzer, Andrew},
  year = {2014},
  month = dec,
  volume = {36},
  pages = {214--217},
  issn = {02613794},
  doi = {10.1016/j.electstud.2014.08.003},
  journal = {Electoral Studies},
  language = {en}
}

@article{konitzerParliamentaryElectionsSerbia2013,
  title = {The Parliamentary Elections in {{Serbia}}, {{May}} 2012},
  author = {Konitzer, Andrew},
  year = {2013},
  month = jun,
  volume = {32},
  pages = {380--385},
  issn = {02613794},
  doi = {10.1016/j.electstud.2013.01.001},
  journal = {Electoral Studies},
  language = {en},
  number = {2}
}

@article{kononoviciusModelingPartiesVote,
  title = {Modeling of the Parties' Vote Share Distributions.},
  author = {Kononovicius, A.},
  doi = {arXiv:1709.07655v2},
  abstract = {{$<$}p{$>$}Competition between varying ideas, people and institutions fuels the dynamics of socio-economic systems. Numerous analyses of the empirical data extracted from different financial markets have established a consistent set of stylized facts describing statistical signatures of the competition in the financial markets. Having an established and consistent set of stylized facts helps to set clear goals for theoretical models to achieve. Despite similar abundance of empirical analyses in sociophysics, there is no consistent set of stylized facts describing the opinion dynamics. In this contribution we consider the parties' vote share distributions observed during the Lithuanian parliamentary elections. We show that most of the time empirical vote share distributions could be well fitted by numerous different distributions. While discussing this peculiarity we provide arguments, including a simple agent-based model, on why the beta distribution could be the best choice to fit the parties' vote share distributions. {$<$}/p{$>$}},
  journal = {arXiv Physics General}
}

@article{kononoviciusModelingPartiesVotea,
  title = {Modeling of the Parties' Vote Share Distributions.},
  author = {Kononovicius, A.},
  doi = {arXiv:1709.07655v2},
  abstract = {{$<$}p{$>$}Competition between varying ideas, people and institutions fuels the dynamics of socio-economic systems. Numerous analyses of the empirical data extracted from different financial markets have established a consistent set of stylized facts describing statistical signatures of the competition in the financial markets. Having an established and consistent set of stylized facts helps to set clear goals for theoretical models to achieve. Despite similar abundance of empirical analyses in sociophysics, there is no consistent set of stylized facts describing the opinion dynamics. In this contribution we consider the parties' vote share distributions observed during the Lithuanian parliamentary elections. We show that most of the time empirical vote share distributions could be well fitted by numerous different distributions. While discussing this peculiarity we provide arguments, including a simple agent-based model, on why the beta distribution could be the best choice to fit the parties' vote share distributions. {$<$}/p{$>$}},
  journal = {arXiv Physics General}
}

@article{koskinenBayesianAnalysisSocial2020,
  title = {Bayesian {{Analysis}} of {{Social Influence}}},
  author = {Koskinen, Johan and Daraganova, Galina},
  year = {2020},
  month = jun,
  abstract = {The network influence model is a model for binary outcome variables that accounts for dependencies between outcomes for units that are relationally tied. The basic influence model was previously extended to afford a suite of new dependence assumptions and because of its relation to traditional Markov random field models it is often referred to as the auto logistic actor-attribute model (ALAAM). We extend on current approaches for fitting ALAAMs by presenting a comprehensive Bayesian inference scheme that supports testing of dependencies across subsets of data and the presence of missing data. We illustrate different aspects of the procedures through three empirical examples: masculinity attitudes in an all-male Australian school class, educational progression in Swedish schools, and un-employment among adults in a community sample in Australia.},
  archivePrefix = {arXiv},
  eprint = {2006.16464},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Koskinen_Daraganova/Koskinen_Daraganova_2020_Bayesian Analysis of Social Influence.pdf;/home/aleksandar/Zotero/storage/LHBDWMT4/2006.html},
  journal = {arXiv:2006.16464 [stat]},
  primaryClass = {stat}
}

@book{kossoSummaryScientificMethod2011,
  title = {A {{Summary}} of {{Scientific Method}}},
  author = {Kosso, Peter},
  year = {2011},
  volume = {1},
  doi = {10.1007/978-94-007-1614-8},
  abstract = {A Summary of Scientific Method is a brief description of what makes science scientific. It is written in a direct, clear style that is accessible and informative for scientists and science students. It is intended to help science teachers explain how science works, highlighting strengths without ignoring limitations, and to help scientists articulate the process and standards of their work. The book demonstrates that there are several important requirements for being scientific, and the most fundamental of these is maintaining an extensive, interconnected, coherent network of ideas. Some components in the network are empirical, others are theoretical, and they support each other. Clarifying the structure of this web of knowledge explains the role of the commonly cited aspects of scientific method, things like hypotheses, theories, testing, evidence, and the like. A Summary of Scientific Method provides a clear, intuitive, and accurate model of scientific method.},
  isbn = {978-94-007-1613-1}
}

@article{kostadinova2013ParliamentaryElections2014,
  title = {The 2013 Parliamentary Elections in {{Bulgaria}}},
  author = {Kostadinova, Petia and Popova, Maria},
  year = {2014},
  month = jun,
  volume = {34},
  pages = {365--368},
  issn = {02613794},
  doi = {10.1016/j.electstud.2013.09.013},
  journal = {Electoral Studies},
  language = {en}
}

@article{kosterDyadicReciprocityFunction2020,
  title = {Dyadic {{Reciprocity}} as a {{Function}} of {{Covariates}}},
  author = {Koster, Jeremy},
  year = {2020},
  month = may,
  abstract = {Reciprocity in dyadic interactions is common and a topic of interest across disciplines. In some cases, reciprocity may be expected to be more or less prevalent among certain kinds of dyads. In response to interest among researchers in estimating dyadic reciprocity as a function of covariates, this paper proposes an extension to the multilevel Social Relations Model. The outcome variable is assumed to be a binomial proportion, as is commonly encountered in observational and

license: MIT

repository: atomashevic/website-at

license_type: permissive

repo_name: atomashevic/website-at

branch_name: refs/heads/master

extension: bib