text:
Compared to the graphical lasso (a commonly used GGM technique), this Sparse Network and Component (SNAC) model more accurately estimates the unique cross-source relationships from multi-source data. This holds in particular when the multi-source data contains more variables than observations (p {$>$} n). Neither differences in sparseness of the underlying component structure of the data nor in the relative dominance of the cross-source compared to source-specific relationships strongly affect the relationship estimates. Sparse Network and Component analysis, a hybrid component-graphical model, is a promising tool for modelling unique relationships between different data sources, thus providing insight into how various disciplines are connected to one another.},
  isbn = {9789811533112},
  language = {en},
  series = {Studies in {{Classification}}, {{Data Analysis}}, and {{Knowledge Organization}}}
}

@article{toblerFirstLawGeography2004,
  title = {On the {{First}} Law of Geography: {{A}} Reply},
  shorttitle = {On the {{First Law}} of {{Geography}}},
  author = {Tobler, Waldo},
  year = {2004},
  month = jun,
  volume = {94},
  pages = {304--310},
  issn = {0004-5608, 1467-8306},
  doi = {10.1111/j.1467-8306.2004.09402009.x},
  journal = {Annals of the Association of American Geographers},
  language = {en},
  number = {2}
}

@article{todeschiniExchangeableRandomMeasures2020,
  title = {Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities},
  author = {Todeschini, Adrien and Miscouridou, Xenia and Caron, Fran{\c c}ois},
  year = {2020},
  volume = {82},
  pages = {487--520},
  publisher = {{Royal Statistical Society}},
  abstract = {We propose a novel statistical model for sparse networks with overlapping community structure. The model is based on representing the graph as an exchangeable point process and naturally generalizes existing probabilistic models with overlapping block structure to the sparse regime. Our construction builds on vectors of completely random measures and has interpretable parameters, each node being assigned a vector representing its levels of affiliation to some latent communities. We develop methods for efficient simulation of this class of random graphs and for scalable posterior inference. We show that the approach proposed can recover interpretable structure of real world networks and can handle graphs with thousands of nodes and tens of thousands of edges.},
  file = {/home/aleksandar/Zotero/storage/TQ6YZS4Z/v82y2020i2p487-520.html},
  journal = {Journal of the Royal Statistical Society Series B},
  language = {en},
  number = {2}
}

@article{tognoliCoordinationDynamicsFoundation2020,
  title = {Coordination {{Dynamics}}: {{A Foundation}} for {{Understanding Social Behavior}}},
  author = {Tognoli, Emmanuelle and Kelso, J A Scott},
  year = {2020},
  volume = {14},
  pages = {16},
  abstract = {Humans' interactions with each other or with socially competent machines exhibit lawful coordination patterns at multiple levels of description. According to Coordination Dynamics, such laws specify the flow of coordination states produced by functional synergies of elements (e.g., cells, body parts, brain areas, people. . .) that are temporarily organized as single, coherent units. These coordinative structures or synergies may be mathematically characterized as informationally coupled self-organizing dynamical systems (Coordination Dynamics). In this paper, we start from a simple foundation, an elemental model system for social interactions, whose behavior has been captured in the Haken-Kelso-Bunz (HKB) model. We follow a tried and tested scientific method that tightly interweaves experimental neurobehavioral studies and mathematical models. We use this method to further develop a body of empirical research that advances the theory toward more generalized forms. In concordance with this interdisciplinary spirit, the present paper is written both as an overview of relevant advances and as an introduction to its mathematical underpinnings. We demonstrate HKB's evolution in the context of social coordination along several directions, with its applicability growing to increasingly complex scenarios. In particular, we show that accommodating for symmetry breaking in intrinsic dynamics and coupling, multiscale generalization and adaptation are principal evolutions. We conclude that a general framework for social coordination dynamics is on the horizon, in which models support experiments with hypothesis generation and mechanistic insights.},
  file = {/home/aleksandar/Zotero/storage/XE6U6SL4/Tognoli and Kelso - 2020 - Coordination Dynamics A Foundation for Understand.pdf},
  journal = {Frontiers in Human Neuroscience},
  language = {en}
}

@incollection{tokaConstitutionalPrinciplesElectoral2014,
  title = {Constitutional Principles and Electoral Democracy in {{Hungary}}},
  booktitle = {Verfassunggebung in Konsolidierten {{Demokratien}}},
  author = {T{\'o}ka, G{\'a}bor},
  editor = {Bos, Ellen and P{\`o}cza, K{\'a}lm{\'a}n},
  year = {2014},
  pages = {309--329},
  publisher = {{Nomos Verlagsgesellschaft}},
  address = {{Baden-Baden}},
  doi = {10.5771/9783845251363-309},
  isbn = {978-3-8452-5136-3}
}

@misc{ToleranceDiversityDiversity,
  title = {Tolerance of {{Diversity}} and {{Diversity}} of {{Intolerance}}: {{Evidence}} from {{Serbia}}: {{Journal}} of {{Balkan}} and {{Near Eastern Studies}}: {{Vol}} 18, {{No}} 5},
  file = {/home/aleksandar/Zotero/storage/ZZAJNVJZ/19448953.2016.html},
  howpublished = {https://www.tandfonline.com/doi/abs/10.1080/19448953.2016.1196025}
}

@misc{ToleranceDiversityDiversitya,
  title = {Tolerance of {{Diversity}} and {{Diversity}} of {{Intolerance}}: {{Evidence}} from {{Serbia}}: {{Journal}} of {{Balkan}} and {{Near Eastern Studies}}: {{Vol}} 18, {{No}} 5},
  file = {/home/aleksandar/Zotero/storage/PTU9JRTC/19448953.2016.html},
  howpublished = {https://www.tandfonline.com/doi/abs/10.1080/19448953.2016.1196025}
}

@article{tomasevicCommutingNetworkAP2017,
  title = {Commuting Network of {{AP Vojvodina}} [{{In Serbian}}]},
  author = {Toma{\v s}evi{\'c}, Aleksandar and Sokolovska, Valentina},
  year = {2017},
  volume = {34},
  pages = {269--281},
  copyright = {All rights reserved},
  journal = {Kultura Polisa},
  number = {3}
}

@article{tomasevicLocalizationElectoralVolatility2019,
  title = {The {{Localization}} of {{Electoral Volatility}}: {{Evidence}} from {{Serbia}} and {{Croatia}}},
  author = {Toma{\v s}evi{\'c}, Aleksandar and Sokolovska, Valentina},
  year = {2019},
  volume = {61},
  pages = {347--367},
  doi = {10.2298/SOC1903347T},
  abstract = {This study introduces a novel methodology for measuring, exploring and describing the processes of party nationalization and localization. The key component of this approach is using electoral volatility as a baseline measure for computing party localization indices. For the purposes of this study, conventional definition of localization as non-uniform territorial political response (Caramani, 2004) is redefined as non-uniform, but spatially contingent responses of territorial units to national political forces. Using network analysis, the authors introduce quantitative approach for studying spatial and dynamical aspects of party systems and demonstrate its usefulness and applicability in cases of two post-communist systems: Serbia and Croatia. The results demonstrate that different components of party systems (new versus stable parties) exhibit different levels of nationalization and localization, which has been overlooked in previous studies. In line with previous research (Bochsler, 2010c; Golosov, 2016; Schakel, 2017), this study confirms that the Croatian party system is less nationalized than Serbian, but there are some similarities between the two countries in terms of the distribution of electoral volatility. In the discussion part of the study, limitations of new methodology are explained and directions for its further development are outlined.},
  copyright = {All rights reserved},
  journal = {Sociologija},
  number = {3}
}

@phdthesis{tomasevicMreznoprostornaDekompozicijaKolebljivosti2018,
  title = {Mre\v{z}no-Prostorna Dekompozicija Kolebljivosti Bira\v{c}kog Tela: {{Odabrane}} Nove \v{C}lanice {{EU}} versus {{Srbija}}},
  author = {Toma{\v s}evi{\'c}, Aleksandar},
  year = {2018},
  address = {{Novi Sad}},
  school = {University of Novi Sad}
}

@incollection{tomasevicTradicionalnoNasledeModerni2017,
  title = {Tradicionalno Nasle\dj e i Moderni Vrednosni Obrasci u Porodi\v{c}nim Odnosima: Empirijska Validacija Upitnika},
  author = {Toma{\v s}evi{\'c}, Aleksandar and Sokolovska, Valentina},
  year = {2017}
}

@article{tongMetaanalysisSociologicalResearch2019,
  ids = {tongMetaanalysisSociologicalResearch,tongMetaanalysisSociologicalResearcha,tongMetaanalysisSociologicalResearchb},
  title = {Meta-Analysis in {{Sociological Research}}: {{Power}} and {{Heterogeneity}}},
  shorttitle = {Meta-Analysis in {{Sociological Research}}},
  author = {Tong, Guangyu and Guo, Guang},
  year = {2019},
  month = nov,
  pages = {0049124119882479},
  issn = {0049-1241},
  doi = {10.1177/0049124119882479},
  abstract = {Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study heterogeneity. This article provides a review of the core methodologies of meta-analysis that we consider most relevant to sociological research. After developing the foundation of the fixed- and random-effects models of meta-analysis models, this article illustrates the utility of the method with regression coefficients reported from two sets of social science studies. We explain the various steps of the process including constructing the meta-sample from primary studies, estimating the fixed- and random-effects models, analyzing the source of heterogeneity across studies, and assessing publication bias. We conclude with a discussion of steps that could be taken to strengthen the development of meta-analysis in sociological research, which will eventually increase the credibility of sociological inquiry via a knowledge-cumulative process.},
  journal = {Sociological Methods \& Research},
  language = {en}
}

@article{topirceanuElectoralForecastingUsing2020,
  title = {Electoral {{Forecasting Using}} a {{Novel Temporal Attenuation Model}}: {{Predicting}} the {{US Presidential Elections}}},
  shorttitle = {Electoral {{Forecasting Using}} a {{Novel Temporal Attenuation Model}}},
  author = {Topirceanu, Alexandru},
  year = {2020},
  month = apr,
  abstract = {Electoral forecasting is an ongoing scientific challenge with high social impact, as current data-driven methods try to efficiently combine statistics with economic indices and machine learning. However, recent studies in network science pinpoint towards the importance of temporal characteristics in the diffusion of opinion. As such, we combine concepts of micro-scale opinion dynamics and temporal epidemics, and develop a novel macro-scale temporal attenuation (TA) model, which uses pre-election poll data to improve forecasting accuracy. Our hypothesis is that the timing of publicizing opinion polls plays a significant role in how opinion oscillates, especially right before elections. Thus, we define the momentum of opinion as a temporal function which bounces up when opinion is injected in a system of voters, and dampens down during states of relaxation. We validate TA on survey data from the US Presidential Elections between 1968\textendash 2016, and TA outperforms statistical methods, as well the best pollsters at their time, in 10 out of 13 presidential elections. We present two different implementations of the TA model, which accumulate an average forecasting error of 2.8\textendash 3.28 points over the 48year period. Conversely, statistical methods accumulate 7.48 points error, and the best pollsters accumulate 3.64 points. Overall, TA offers increases of 23-37\% in forecasting performance compared to the state of the art. We show that the effectiveness of TA does not drop when relatively few polls are available; moreover, with increasing availability of pre-election surveys, we believe that our TA model will become a reference alongside other modern election forecasting techniques.},
  archivePrefix = {arXiv},
  eprint = {2005.01799},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Topirceanu/Topirceanu_2020_Electoral Forecasting Using a Novel Temporal Attenuation Model.pdf},
  journal = {arXiv:2005.01799 [physics]},
  language = {en},
  primaryClass = {physics}
}

@article{topirceanuFrameworkImprovingElectoral2020,
  title = {A Framework for Improving Electoral Forecasting Based on Time-Aware Polling},
  author = {Top{\^i}rceanu, Alexandru and Precup, Radu-Emil},
  year = {2020},
  month = jun,
  volume = {10},
  pages = {39},
  issn = {1869-5469},
  doi = {10.1007/s13278-020-00646-7},
  abstract = {The prediction of opinion distribution in real-world scenarios represents a major scientific challenge for current social networks analysis. In terms of electoral forecasting, we find several prediction solutions that try to combine statistics with economic indices, and machine learning, like multilevel regression and post-stratification (MRP). Nevertheless, recent studies pinpoint toward the importance of temporal characteristics in the diffusion of opinion. As such, we take inspiration from micro-scale temporal epidemic models and develop an original time-aware (TA) forecasting methodology which is able to improve the prediction of opinion distribution in an electoral context. After a parametric analysis, we validate our TA method with pre-election survey data from three presidential elections (2012\textendash 2019) and the UK Brexit (2016). Benchmarking our TA method against two classic statistical approaches, like survey averaging (SA), and cumulative vote counting (CC), and the best pollster predictions, we find that our method is substantially closer to the real election outcomes. On average, we measure prediction errors of 9.8\% (SA), 9.6\% (CC), 5.1\% (MRP), and only 3.0\% for TA; these differences translate into increases of prediction accuracy of \$\$\textbackslash approx 71\textbackslash\%\$\${$\approx$}71\% for the TA method (40\% better than best pollsters). Moreover, TA does not require socio-economical contextual information, while the more complex MRP method depends on them for prediction. This work builds upon existing studies on the microscopic temporal dynamics of social networks and offers new insight on how macroscopic prediction can be improved using time-awareness.},
  file = {/home/aleksandar/Dropbox/Zotero/Topîrceanu_Precup/Topîrceanu_Precup_2020_A framework for improving electoral forecasting based on time-aware polling.pdf},
  journal = {Social Network Analysis and Mining},
  language = {en},
  number = {1}
}

@article{toplakParliamentaryElectionSlovenia2006,
  title = {The Parliamentary Election in {{Slovenia}}, {{October}} 2004},
  author = {Toplak, Jurij},
  year = {2006},
  month = dec,
  volume = {25},
  pages = {825--831},
  issn = {02613794},
  doi = {10.1016/j.electstud.2005.12.006},
  journal = {Electoral Studies},
  language = {en},
  number = {4}
}

@techreport{toribio-florezAmbivalenceInterpersonalLiking2020,
  title = {Ambivalence and Interpersonal Liking: {{The}} Expression of Ambivalence as Social Validation of Attitudinal Conflict},
  shorttitle = {Ambivalence and Interpersonal Liking},
  author = {{Toribio-Fl{\'o}rez}, Daniel and {van Harreveld}, Frenk and Schneider, Iris},
  year = {2020},
  month = jan,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/m2ehp},
  abstract = {Literature on attitude similarity suggests that sharing similar attitudes enhances interpersonal liking, but it remains unanswered whether this effect also holds for ambivalent attitudes. In the present research, we shed light on the role attitudinal ambivalence plays in interpersonal liking. Specifically, we examine whether people express ambivalence strategically to generate a positive or negative social image, and whether this is dependent on the attitudinal ambivalence of their perceiver. We test two alternative hypotheses. In line with the attitude-similarity effect, people should express ambivalence towards ambivalent others to enhance interpersonal liking, as sharing ambivalence might socially validate the latter's experience of attitudinal conflict. On the other hand, people might express more univalence, as ambivalence may drive ambivalent others towards the resolution of their attitudinal conflict and univalent stances could help to achieve that goal. In two studies (N = 449, 149), people expressed similar attitudes to those of their perceivers, even when the latter experienced attitudinal conflict (Study 1 and 2). Moreover, they composed an essay, the message of which validated their perceiver's attitudinal conflict (Study 2). In line with these results, we further observe that the more people experienced their ambivalence as conflicting, the more they liked others who similarly experienced attitudinal conflict (Study 1). These findings suggest that the expression of ambivalence can have important interpersonal functions, as it might lead to an enhanced social image when interacting with those coping with attitudinal conflict.},
  language = {en},
  type = {Preprint}
}

@article{tormosDoesContextualChange2017,
  title = {Does {{Contextual Change Affect Basic Human Values}}? {{A Dynamic Comparative Multilevel Analysis Across}} 32 {{European Countries}}},
  shorttitle = {Does {{Contextual Change Affect Basic Human Values}}?},
  author = {Tormos, Ra{\"u}l and Vauclair, Christin-Melanie and Dobewall, Henrik},
  year = {2017},
  month = may,
  volume = {48},
  pages = {490--510},
  issn = {0022-0221},
  doi = {10.1177/0022022117692675},
  abstract = {This article examines the relationship of stable contextual differences and contextual change with the endorsement of Schwartz's (1992) two basic value dimensions\textemdash Openness-to-Change versus Conservation and Self-Enhancement versus Self-Transcendence. Using six waves of the European Social Survey, an extension of multilevel analysis is used which combines both a cross-national comparative and a dynamic analysis of values. The hierarchical data structure and the covariates for value endorsement are defined at three distinct levels: a first level for individuals (with sociodemographic variables, such as age and gender), a second level for country-waves (with time-varying covariates), and a third level for country (with time-invariant covariates). The main aim is to determine if changes in contextual covariates over time are related to value differences between countries over and above contextual time-invariant covariates. High national wealth and low income inequality predicted high Self-Transcendence values and low Conservation values. Low national unemployment rates were associated with less conservatism. When entered simultaneously into the model, only time-invariant differences in gross domestic product (GDP) remained to be a significant predictor of Schwartz's two basic value dimensions. Finally, we found that an increase in income inequality over time has a certain incremental effect on the endorsement of Conservation over Openness-to-Change values. There were no associations for changes in national wealth and unemployment rates, suggesting that for value endorsement, time-varying contextual effects are less important overall than time-invariant contextual effects.},
  journal = {Journal of Cross-Cultural Psychology},
  language = {en},
  number = {4}
}

@article{tortuModellingNetworkInterference2020,
  title = {Modelling {{Network Interference}} with {{Multi}}-Valued {{Treatments}}: The {{Causal Effect}} of {{Immigration Policy}} on {{Crime Rates}}},
  shorttitle = {Modelling {{Network Interference}} with {{Multi}}-Valued {{Treatments}}},
  author = {Tort{\`u}, C. and Forastiere, L. and Crimaldi, I. and Mealli, F.},
  year = {2020},
  month = feb,
  abstract = {Policy evaluation studies, which aim to assess the effect of an intervention, imply some statistical challenges: real-world scenarios provide treatments which have not been assigned randomly and the analysis might be further complicated by the presence of interference between units. Researchers have started to develop novel methods that allow to manage spillover mechanisms in observational studies, under binary treatments. But many policy evaluation studies require complex treatments, such as multi-valued treatments. For instance, in political sciences, evaluating the impact of policies implemented by administrative entities often implies a multi-valued approach, as the general political stance towards a specific issue varies over many dimensions. In this work, we extend the statistical framework about causal inference under network interference in observational studies, allowing for a multi-valued individual treatment and an interference structure shaped by a weighted network. Under multi-valued treatment, each unit is exposed to all levels of the treatment, due to the influence of his neighbors, according to the network weights. The estimation strategy is based on a joint multiple generalized propensity score and allows to estimate direct effects, controlling for both individual and network covariates. We follow the proposed methodology to analyze the impact of national immigration policy on crime rates. We define a multi-valued characterization of political attitudes towards migrants and we assume that the extent to which each country can be influenced by another is modeled by an appropriate indicator, that we call Interference Compound Index (ICI). Results suggest that implementing highly restrictive immigration policies leads to an increase of crime rates and the magnitude of estimated effects is stronger if we take into account multi-valued interference.},
  archivePrefix = {arXiv},
  eprint = {2003.10525},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Tortù et al/Tortù et al_2020_Modelling Network Interference with Multi-valued Treatments.pdf},
  journal = {arXiv:2003.10525 [econ, stat]},
  language = {en},
  primaryClass = {econ, stat}
}

@article{toth-kiralyIllustrationExploratoryStructural2017,
  title = {An {{Illustration}} of the {{Exploratory Structural Equation Modeling}} ({{ESEM}}) {{Framework}} on the {{Passion Scale}}},
  author = {{T{\'o}th-Kir{\'a}ly}, Istv{\'a}n and B{\~o}the, Be{\'a}ta and Rig{\'o}, Adrien and Orosz, G{\'a}bor},
  year = {2017},
  volume = {8},
  publisher = {{Frontiers}},
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2017.01968},
  abstract = {While exploratory factor analysis (EFA) provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA) includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation modeling (ESEM) was proposed as an alternative solution, incorporating the advantages of EFA and CFA. The present investigation is thus an illustrative demonstration of the applicability and flexibility of ESEM. To achieve this goal, we compared CFA and ESEM models, then thoroughly tested measurement invariance and differential item functioning through multiple-indicators-multiple-causes (MIMIC) models on the Passion Scale, the only measure of the Dualistic Model of Passion which differentiates between harmonious and obsessive forms of passion. Moreover, a hybrid model was also created to overcome the drawbacks of the two methods. Analyses of the first large community sample (N = 7,466; 67.7\% females; Mage = 26.01) revealed that the superiority of the ESEM model relative to CFA in terms of improved goodness-of-fit and less correlated factors, while at the same time retaining the high definition of the factors. However, this fit was only achieved with the inclusion of three correlated uniquenesses, two of which appeared in previous studies and one of which was specific to the current investigation. These findings were replicated on a second, comprehensive sample (N = 504; 51.8\% females; Mage = 39.59). After combining the two samples, complete measurement invariance (factor loadings, factor correlations, item uniquenesses, item intercepts, and latent means) was achieved across gender and partial invariance across age groups and their combination. Only one item intercept was non-invariant across both multigroup and MIMIC approaches, an observation that was further corroborated by the hybrid model. While obsessive passion showed a slight decline in the hybrid model, harmonious passion did not. Overall, the ESEM framework is a viable alternative of CFA that could be used and even extended to address substantially important questions and researchers should systematically compare these two approaches to identify the most suitable one.},
  journal = {Frontiers in Psychology},
  language = {English}
}

@inproceedings{tozzoMultiparametersModelSelection2020,
  title = {Multi-Parameters {{Model Selection}} for~{{Network Inference}}},
  booktitle = {Complex {{Networks}} and {{Their Applications VIII}}},
  author = {Tozzo, Veronica and Barla, Annalisa},
  editor = {Cherifi, Hocine and Gaito, Sabrina and Mendes, Jos{\'e} Fernendo and Moro, Esteban and Rocha, Luis Mateus},
  year = {2020},
  pages = {566--577},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-36687-2_47},
  abstract = {Network inference is the reverse-engineering problem of inferring graphs from data. With the always increasing availability of data, methods based on probability assumptions that infer multiple intertwined networks have been proposed in literature. These methods, while being extremely flexible, have the major drawback of presenting a high number of hyper-parameters that need to be tuned. The tuning of hyper-parameters, in unsupervised settings, can be performed through criteria based on likelihood or stability. Likelihood-based scores can be easily generalised to the multi hyper-parameters setting, but their computation is feasible only under certain probability assumptions. Differently, stability-based methods are of general application and, on single hyper-parameter, they have been proved to outperform likelihood-based scores. In this work we present a multi-parameters extension to stability-based methods that can be easily applied on complex models. We extensively compared this extension with likelihood-based scores on synthetic Gaussian data. Experiments show that our extension provides a better estimate of models of increasing complexity providing a valuable alternative of existing likelihood-based model selection methods.},
  isbn = {978-3-030-36687-2},
  language = {en},
  series = {Studies in {{Computational Intelligence}}}
}

@book{tranquilloIntroductionComplexSystems2019,
  title = {An {{Introduction}} to {{Complex Systems}}: {{Making Sense}} of a {{Changing World}}\mbox},
  shorttitle = {An {{Introduction}} to {{Complex Systems}}},
  author = {Tranquillo, Joe},
  year = {2019},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-02589-2},
  file = {/home/aleksandar/Dropbox/Zotero/Tranquillo/Tranquillo_2019_An Introduction to Complex Systems.pdf},
  isbn = {978-3-030-02588-5 978-3-030-02589-2},
  language = {en}
}

@article{tremayneAnatomyProtestDigital2014,
  title = {Anatomy of {{Protest}} in the {{Digital Era}}: {{A Network Analysis}} of {{Twitter}} and {{Occupy Wall Street}}},
  shorttitle = {Anatomy of {{Protest}} in the {{Digital Era}}},
  author = {Tremayne, Mark},
  year = {2014},
  month = jan,
  volume = {13},
  pages = {110--126},
  issn = {1474-2837, 1474-2829},
  doi = {10.1080/14742837.2013.830969},
  journal = {Social Movement Studies},
  language = {en},
  number = {1}
}

@inproceedings{trifunovicSocialTrustOpportunistic2010,
  title = {Social {{Trust}} in {{Opportunistic Networks}}},
  booktitle = {2010 {{INFOCOM IEEE Conference}} on {{Computer Communications Workshops}}},
  author = {Trifunovic, Sacha and Legendre, Franck and Anastasiades, Carlos},
  year = {2010},
  month = mar,
  pages = {1--6},
  doi = {10.1109/INFCOMW.2010.5466696},
  abstract = {Opportunistic networks enable mobile users to participate in various social interactions with applications such as content distribution and micro-blogs. Because of their distributed nature, securing user interactions relies rather on trust than hard cryptography. Trust is often based on past user interactions such as in reputation systems relying on ratings. Yet, a more fundamental trust, social trust - assessing a user is genuine with honest intentions - must be established beforehand as many identities can be created easily (i.e., sybils). By leveraging the social network structure and its dynamics (conscious secure pairing and wireless contacts), we propose two complementary approaches for social trust establishment: explicit social trust and implicit social trust. Complexity, trust propagation and security issues are evaluated using real world complex graphs, synthetic mobility models and mobility traces. We show how our approach limits the maximum number of sybils independently of the network size and is more robust against manipulation attacks compared to state-of-the-art approaches such as PGP- like certification chains and distributed community detection algorithms.},
  file = {/home/aleksandar/Zotero/storage/BEZNA3CN/5466696.html}
}

@article{truebnerDynamicsNeitherAgree,
  title = {The {{Dynamics OF}} ``{{Neither Agree}} nor {{Disagree}}'' {{Answers}} in {{Attitudinal Questions}}},
  author = {Truebner, Miriam},
  doi = {10.1093/jssam/smz029},
  abstract = {Abstract.  Attitudinal questions are an integral part of surveys in the social sciences. Previous research based on cross-sectional data has shown that both res},
  file = {/home/aleksandar/Zotero/storage/Z67AUK9X/5601671.html},
  journal = {Journal of Survey Statistics and Methodology},
  language = {en}
}

@article{tsakalidisNowcastingStanceSocial,
  title = {Nowcasting the {{Stance}} of {{Social Media Users}} in a {{Sudden Vote}}: {{The Case}} of the {{Greek Referendum}}.},
  author = {Tsakalidis, Adam and Aletras, Nikolaos and Cristea, Alexandra I. and Liakata, Maria},
  doi = {arXiv:1808.08538v1},
  abstract = {{$<$}p{$>$}Modelling user voting intention in social media is an important research area, with applications in analysing electorate behaviour, online political campaigning and advertising. Previous approaches mainly focus on predicting national general elections, which are regularly scheduled and where data of past results and opinion polls are available. However, there is no evidence of how such models would perform during a sudden vote under time-constrained circumstances. That poses a more challenging task compared to traditional elections, due to its spontaneous nature. In this paper, we focus on the 2015 Greek bailout referendum, aiming to nowcast on a daily basis the voting intention of 2,197 Twitter users. We propose a semi-supervised multiple convolution kernel learning approach, leveraging temporally sensitive text and network information. Our evaluation under a real-time simulation framework demonstrates the effectiveness and robustness of our approach against competitive baselines, achieving a significant 20\% increase in F-score compared to solely text-based models. {$<$}/p{$>$}},
  journal = {arXiv Computer Science}
}

@article{tsakalidisNowcastingStanceSociala,
  title = {Nowcasting the {{Stance}} of {{Social Media Users}} in a {{Sudden Vote}}: {{The Case}} of the {{Greek Referendum}}.},
  author = {Tsakalidis, Adam and Aletras, Nikolaos and Cristea, Alexandra I. and Liakata, Maria},
  doi = {arXiv:1808.08538v1},
  abstract = {{$<$}p{$>$}Modelling user voting intention in social media is an important research area, with applications in analysing electorate behaviour, online political campaigning and advertising. Previous approaches mainly focus on predicting national general elections, which are regularly scheduled and where data of past results and opinion polls are available. However, there is no evidence of how such models would perform during a sudden vote under time-constrained circumstances. That poses a more challenging task compared to traditional elections, due to its spontaneous nature. In this paper, we focus on the 2015 Greek bailout referendum, aiming to nowcast on a daily basis the voting intention of 2,197 Twitter users. We propose a semi-supervised multiple convolution kernel learning approach, leveraging temporally sensitive text and network information. Our evaluation under a real-time simulation framework demonstrates the effectiveness and robustness of our approach against competitive baselines, achieving a significant 20\% increase in F-score compared to solely text-based models. {$<$}/p{$>$}},
  journal = {arXiv Computer Science}
}

@article{tsangOpinionLeadersPerceived2020,
  title = {Opinion {{Leaders}}, {{Perceived Media Hostility}} and {{Political Participation}}},
  author = {Tsang, Stephanie Jean and Rojas, Hernando},
  year = {2020},
  month = jul,
  volume = {0},
  pages = {1--15},
  publisher = {{Routledge}},
  issn = {1051-0974},
  doi = {10.1080/10510974.2020.1791203},
  abstract = {Opinion leaders play a significant role in public opinion formation by highlighting, defining and framing political issues for their circle of friends. Although we know opinion leaders are more likely to participate in politics, we are less sure about how they process mediated information and what motivate them to participate more actively than individuals who are less politically active. Data from a national representative survey in Colombia show not only that opinion leaders perceive more media bias and hostility, but also that the degree of their perceived media hostility is capable of motivating higher levels of political talk and participation.},
  annotation = {\_eprint: https://doi.org/10.1080/10510974.2020.1791203},
  file = {/home/aleksandar/Zotero/storage/XUAA5Y5K/10510974.2020.html},
  journal = {Communication Studies},
  number = {0}
}

@article{tsiotasDetectingDifferencesTopology2020,
  title = {Detecting Differences in the Topology of Scale-Free Networks Grown under Time-Dynamic Topological Fitness},
  author = {Tsiotas, Dimitrios},
  year = {2020},
  month = dec,
  volume = {10},
  pages = {10630},
  issn = {2045-2322},
  doi = {10.1038/s41598-020-67156-6},
  file = {/home/aleksandar/Zotero/storage/MTHHCUPM/Tsiotas - 2020 - Detecting differences in the topology of scale-fre.pdf},
  journal = {Scientific Reports},
  language = {en},
  number = {1}
}

@article{tuckerFirstDecadePostcommunist2002,
  title = {The First Decade of Post-Communist Elections and Voting: {{What}} Have We Studied, and How Have We Studied It},
  shorttitle = {T},
  author = {Tucker, Joshua A.},
  year = {2002},
  month = jun,
  volume = {5},
  pages = {271--304},
  issn = {1094-2939, 1545-1577},
  doi = {10.1146/annurev.polisci.5.100201.102917},
  journal = {Annual Review of Political Science},
  language = {en},
  number = {1}
}

@book{turkmanComputationalBayesianStatistics2019,
  title = {Computational {{Bayesian}} Statistics: An Introduction},
  shorttitle = {Computational {{Bayesian}} Statistics},
  author = {Turkman, Maria Ant{\'o}nia Amaral and Paulino, Carlos Daniel and M{\"u}ller, Peter},
  year = {2019},
  publisher = {{Cambridge University Press}},
  address = {{Cambridge ; New York, NY}},
  isbn = {978-1-108-48103-8 978-1-108-70374-1},
  lccn = {QA279.5 .T87 2019},
  number = {11},
  series = {Institute of {{Mathematical Statistics}} Textbooks}
}

@article{turner-zwinkelsConservativesMoralFoundations2020,
  title = {Conservatives' {{Moral Foundations Are More Densely Connected Than Liberals}}' {{Moral Foundations}}},
  author = {{Turner-Zwinkels}, Felicity M. and Johnson, Branden B. and Sibley, Chris G. and Brandt, Mark J.},
  year = {2020},
  month = may,
  pages = {0146167220916070},
  publisher = {{SAGE Publications Inc}},
  issn = {0146-1672},
  doi = {10.1177/0146167220916070},
  abstract = {We use network psychometrics to map a subsection of moral belief systems predicted by moral foundations theory (MFT). This approach conceptualizes moral systems as networks, with moral beliefs represented as nodes connected by direct relations. As such, it advances a novel test of MFT?s claim that liberals and conservatives have different systems of foundational moral values, which we test in three large datasets (NSample1 = 854; NSample2 = 679; NSample3 = 2,572), from two countries (the United States and New Zealand). Results supported our first hypothesis that liberals? moral systems show more segregation between individualizing and binding foundations than conservatives. Results showed only weak support for our second hypothesis, that this pattern would be more typical of higher educated than less educated liberals/conservatives. Findings support a systems approach to MFT and show the value of modeling moral belief systems as networks.},
  file = {/home/aleksandar/Documents/Zotero/Turner-Zwinkels et al/Turner-Zwinkels et al_2020_Conservatives’ Moral Foundations Are More Densely Connected Than Liberals’.pdf},
  journal = {Personality and Social Psychology Bulletin}
}

@article{turnerStubbornExtremismPotential,
  title = {Stubborn Extremism as a Potential Pathway to Group Polarization},
  author = {Turner, Matthew A and Smaldino, Paul E},
  pages = {8},
  abstract = {Group polarization is the widely-observed phenomenon in which the opinions held by members of a small group become more extreme after the group discusses a topic. For example, conservative individuals become even more conservative, while liberal individuals become even more liberal. Social psychologists have offered competing explanations for this phenomenon. These typically require questionable assumptions about human psychology. Here, we posit a more parsimonious explanation: the stubbornness of extreme opinions. Using agentbased modeling, we demonstrate that such ``stubborn extremism'' gives rise to group polarization, as well as other trends observed across the literature on polarization. Our study revealed a further methodological problem for the study of group polarization: reporting opinions as categories (e.g. on a Likert scale) inflates the observed increase in opinion extremity. We conclude with a call for deeper integration of opinion dynamics modeling with the cognitive science of communication and influence.},
  file = {/home/aleksandar/Dropbox/Zotero/Turner_Smaldino/Turner_Smaldino_Stubborn extremism as a potential pathway to group polarization.pdf},
  language = {en}
}

@article{twengeChangesAmericanAdults2016,
  title = {Changes in {{American Adults}}' {{Reported Same}}-{{Sex Sexual Experiences}} and {{Attitudes}}, 1973\textendash 2014},
  author = {Twenge, Jean M. and Sherman, Ryne A. and Wells, Brooke E.},
  year = {2016},
  month = oct,
  volume = {45},
  pages = {1713--1730},
  issn = {1573-2800},
  doi = {10.1007/s10508-016-0769-4},
  abstract = {We examined change over time in the reported prevalence of men having sex with men and women having sex with women and acceptance of those behaviors in the nationally representative General Social Survey of U.S. adults (n's = 28,161\textendash 33,728, ages 18\textendash 96 years), 1972\textendash 2014. The number of U.S. adults who had at least one same-sex partner since age 18 doubled between the early 1990s and early 2010s (from 3.6 to 8.7 \% for women and from 4.5 to 8.2 \% for men). Bisexual behavior (having sex with both male and female partners) increased from 3.1 to 7.7 \%, accounting for much of the rise, with little consistent change in those having sex exclusively with same-sex partners. The increase in same-sex partners was larger for women than for men, consistent with erotic plasticity theory. Attitudes toward same-sex sexual behavior also became substantially more accepting, d = .75, between the early 1970s and early 2010s. By 2014, 49 \% of American adults believed that same-sex sexual activity was ``not wrong at all,'' up from 11 \% in 1973 and 13 \% in 1990. Controlling for acceptance reduced, but did not eliminate, the increase in same-sex behavior over time. Mixed effects (hierarchical linear modeling) analyses separating age, time period, and cohort showed that the trends were primarily due to time period. Increases in same-sex sexual behavior were largest in the South and Midwest and among Whites, were mostly absent among Blacks, and were smaller among the religious. Overall, same-sex sexual behavior has become both more common (or at least more commonly reported) and more accepted.},
  journal = {Archives of Sexual Behavior},
  language = {en},
  number = {7}
}

@article{uherPsychometricsNotMeasurement2020,
  title = {Psychometrics Is Not Measurement: {{Unraveling}} a Fundamental Misconception in Quantitative Psychology and the Complex Network of Its Underlying Fallacies},
  shorttitle = {Psychometrics Is Not Measurement},
  author = {Uher, Jana},
  year = {2020},
  pages = {No Pagination Specified-No Pagination Specified},
  publisher = {{Educational Publishing Foundation}},
  address = {{US}},
  issn = {2151-3341(Electronic),1068-8471(Print)},
  doi = {10.1037/teo0000176},
  abstract = {Psychometrics has always been confronted with fundamental criticism, highlighting serious insufficiencies and fallacies. Many fallacies persist, however, because each critic explores only some fallacies while still building on others. This article scrutinizes the epistemological, metatheoretical, and methodological foundations of psychometrics, revealing a complex network of numerous conceptual fallacies underlying its framework of theory and practice. At its core lies a key challenge for psychology: the necessity to distinguish the phenomena under study from the means used to explore them (e.g., concepts, methods, data). This distinction is intricate because concepts constitute psychical phenomena in themselves and many psychical phenomena are accessible only through language-based methods. The analyses show how insufficient consideration of this important distinction and common misconceptions about concepts and language (e.g., signifier\textendash referent conflation, reification of constructs) led to conflations of disparate notions of key terms in psychological measurement (e.g., ``variables'', ``attributes'', ``causality'') and numerous interrelated fallacies (e.g., construct\textendash referent conflation, phenomenon\textendash quality\textendash quantity conflation, numeral\textendash number conflation). These fallacies are maintained and masked by repeated conceptual back-and-forth switching between two incompatible epistemological frameworks, (a) an operationist framework of data modeling implemented through methodical and statistical operations and (b) a realist framework of measurement sporadically invoked in theoretical considerations but neither theoretically elaborated nor empirically implemented. The analyses demonstrate that psychometrics constitutes only data modeling but not data generation or even measurement as often assumed and that analogies to (indirect or fundamental) physical measurement are mistaken. They provide theoretical support for the increasing criticism of psychometrics and its use in research and applied contexts. (PsycInfo Database Record (c) 2020 APA, all rights reserved)},
  file = {/home/aleksandar/Zotero/storage/NLHXSUQ7/2020-81509-001.html},
  journal = {Journal of Theoretical and Philosophical Psychology},
  keywords = {Concepts,Epistemology,Experimental Replication,Latent Variables,Measurement,Psychometrics,Quantitative Methods,Simulation,Statistical Variables}
}

@article{vaiseyCanCulturalWorldviews2010,
  title = {Can {{Cultural Worldviews Influence Network Composition}}?},
  author = {Vaisey, S. and Lizardo, O.},
  year = {2010},
  month = jun,
  volume = {88},
  pages = {1595--1618},
  issn = {0037-7732, 1534-7605},
  doi = {10.1353/sof.2010.0009},
  journal = {Social Forces},
  language = {en},
  number = {4}
}

@article{vaiseyCulturalFragmentationAcquired2016,
  title = {Cultural {{Fragmentation}} or {{Acquired Dispositions}}? {{A New Approach}} to {{Accounting}} for {{Patterns}} of {{Cultural Change}}},
  shorttitle = {Cultural {{Fragmentation}} or {{Acquired Dispositions}}?},
  author = {Vaisey, Stephen and Lizardo, Omar},
  year = {2016},
  month = aug,
  volume = {2},
  pages = {237802311666972},
  issn = {2378-0231, 2378-0231},
  doi = {10.1177/2378023116669726},
  journal = {Socius: Sociological Research for a Dynamic World},
  language = {en}
}

@article{vaiseyModelbasedMethodDetecting2020,
  title = {A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data},
  author = {Vaisey, Stephen and Kiley, Kevin},
  year = {2020},
  month = dec,
  publisher = {{SocArXiv}},
  doi = {10.31235/osf.io/ec46t},
  abstract = {Kiley and Vaisey (2020) recently published a method for assessing whether survey respondents appear to be changing their beliefs between waves or whether they instead appear to be repeating fixed responses with temporary local influences. This question is important because these processes reflect very different theoretical models of the evolution of ``personal culture.'' That is, if cultural beliefs are primarily public and responsive to external discourse, we should observe more updating as people respond to changes in their local environment. On the other hand, if cultural beliefs are primarily something learned early, then ``settled dispositions'' should be relatively resilient to change. In this paper, we build on Kiley and Vaisey (2020) and introduce an alternative method for distinguishing between cases where respondents appear be actively updating their responses and situations where respondents' responses appear to be settled. This method, based on structural equation modeling, provides a close fit to the theoretical models outlined in Kiley and Vaisey (2020) and provides even stronger support for their claim that most survey responses reflect settled dispositions developed prior to adulthood.},
  file = {/home/aleksandar/Zotero/storage/6WHHI8WZ/Vaisey_Kiley_2020_A model-based method for detecting persistent cultural change using panel data.pdf},
  keywords = {American Politics,cultural change,cultural evolution,Culture,GSS,Methodology,Models and Methods,panel data,Political Science,Political Sociology,Social and Behavioral Sciences,Sociology,structural equation models,Theory}
}

@article{vaiseyMotivationJustificationDual2009,
  title = {Motivation and {{Justification}}: {{A Dual}}-{{Process Model}} of {{Culture}} in {{Action}}},
  shorttitle = {Motivation and {{Justification}}},
  author = {Vaisey, Stephen},
  year = {2009},
  month = may,
  volume = {114},
  pages = {1675--1715},
  issn = {0002-9602, 1537-5390},
  doi = {10.1086/597179},
  journal = {American Journal of Sociology},
  language = {en},
  number = {6}
}

@article{vanborkuloNewMethodConstructing2014,
  title = {A New Method for Constructing Networks from Binary Data},
  author = {{van Borkulo}, Claudia D. and Borsboom, Denny and Epskamp, Sacha and Blanken, Tessa F. and Boschloo, Lynn and Schoevers, Robert A. and Waldorp, Lourens J.},
  year = {2014},
  month = aug,
  volume = {4},
  pages = {5918},
  journal = {Scientific Reports}
}

@article{vanborkuloNewMethodConstructing2015,
  title = {A New Method for Constructing Networks from Binary Data},
  author = {{van Borkulo}, Claudia D. and Borsboom, Denny and Epskamp, Sacha and Blanken, Tessa F. and Boschloo, Lynn and Schoevers, Robert A. and Waldorp, Lourens J.},
  year = {2015},
  month = may,
  volume = {4},
  pages = {5918},
  issn = {2045-2322},
  doi = {10.1038/srep05918},
  journal = {Scientific Reports},
  language = {en},
  number = {1}
}

@article{vandebuntFriendshipNetworksTime1999,
  title = {Friendship {{Networks Through Time}}: {{An Actor}}-{{Oriented Dynamic Statistical Network Model}}},
  author = {Van De Bunt, Gerhard G. and Van Duijn, Marijtje A.J. and Snijders, Tom A.B.},
  year = {1999},
  month = jul,
  volume = {5},
  pages = {167--192},
  issn = {1572-9346},
  doi = {10.1023/A:1009683123448},
  abstract = {We propose a class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular. The models are random utility models developed within a rational choice framework. Based on social psychological and sociological theories about friendship, mathematical functions capturing expected utility of individual actors with respect to friendship are constructed. Expected utility also contains a random (unexplained) component. We assume that, given their restrictions and contact opportunities, individuals evaluate their utility functions and behave such that they maximize the expected amount of utility. The behavior under consideration is the expression of like and dislike (choice of friends). Theoretical mechanisms that are modelled are, e.g., the principle of diminishing returns, the tendency towards reciprocated choices, and the preference for friendship relations with similar others. Constraints imposed on individuals are, e.g., the structure of the existing network, and the distribution of personal characteristics over the respondents. The models are illustrated by means of a data-set collected among university freshmen at 7 points in time during 1994 and 1995.},
  journal = {Computational \& Mathematical Organization Theory},
  number = {2}
}

@techreport{vandenakkerPreregistrationSecondaryData2019,
  title = {Preregistration of Secondary Data Analysis: {{A}} Template and Tutorial},
  shorttitle = {Preregistration of Secondary Data Analysis},
  author = {{Van den Akker}, Olmo and Weston, Sara J and Campbell, Lorne and Chopik, William J. and Damian, Rodica I. and {Davis-Kean}, Pamela and Hall, Andrew Nolan and Kosie, Jessica Elizabeth and Kruse, Elliott Tyler and Olsen, Jerome and Ritchie, Stuart James and Valentine, Kathrene D and {van 't Veer}, Anna Elisabeth and Bakker, Marjan},
  year = {2019},
  month = nov,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/hvfmr},
  abstract = {Preregistration has been lauded as one of the solutions to the so-called `crisis of confidence' in the social sciences and has therefore gained in popularity in recent years. However, despite its growing popularity, preregistration is still in its infancy and preregistration practices are far from optimal. Moreover, the current infrastructure for preregistration is limited and is primarily relevant for studies where new data will be collected. This is unfortunate as preregistering secondary data analyses is crucially important since researchers' hypotheses and analyses may be biased by their prior knowledge of the data, and because the extensive nature of many secondary data sets provide ample opportunity for p-hacking. In this tutorial, we present a template specifically designed for the preregistration of secondary data analyses, and provide comments and a practical example that may help with using the template effectively.},
  language = {en},
  type = {Preprint}
}

@techreport{vandenberghTutorialBayesianMultiModel2020,
  title = {A {{Tutorial}} on {{Bayesian Multi}}-{{Model Linear Regression}} with {{BAS}} and {{JASP}}},
  author = {{van den Bergh}, Don and Clyde, Merlise Aycock and Raj, Akash and {de Jong}, Tim and Gronau, Quentin Frederik and Marsman, Maarten and Ly, Alexander and Wagenmakers, Eric-Jan},
  year = {2020},
  month = apr,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/pqju6},
  abstract = {Linear regression analyses commonly involve two consecutive stages of statistical inquiry. In the first stage, a single `best' model is defined by a specific selection of relevant predictors; in the second stage, the regression coefficients of the winning model are used for prediction and for inference concerning the importance of the predictors. However, such second-stage inference ignores the model uncertainty from the first stage, resulting in overconfident parameter estimates that generalize poorly. These drawbacks can be overcome by model averaging, a technique that retains all models for inference, weighting each model's contribution by its posterior probability. Although conceptually straightforward, model averaging is rarely used in applied research, possibly due to the lack of easily accessible software. To bridge the gap between theory and practice, we provide a tutorial on linear regression using Bayesian model averaging in JASP, based on the BAS package in R. Firstly, we provide theoretical background on linear regression, Bayesian inference, and Bayesian model averaging. Secondly, we demonstrate the method on an example data set from the World Happiness Report. Lastly, we discuss limitations of model averaging and directions for dealing with violations of model assumptions.},
  language = {en},
  type = {Preprint}
}

@article{vandenbergReviewSynthesisMeasurement2000,
  title = {A {{Review}} and {{Synthesis}} of the {{Measurement Invariance Literature}}: {{Suggestions}}, {{Practices}}, and {{Recommendations}} for {{Organizational Research}}},
  shorttitle = {A {{Review}} and {{Synthesis}} of the {{Measurement Invariance Literature}}},
  author = {Vandenberg, Robert J. and Lance, Charles E.},
  year = {2000},
  month = jan,
  volume = {3},
  pages = {4--70},
  issn = {1094-4281, 1552-7425},
  doi = {10.1177/109442810031002},
  file = {/home/aleksandar/Dropbox/Zotero/Vandenberg_Lance/Vandenberg_Lance_2000_A Review and Synthesis of the Measurement Invariance Literature.pdf},
  journal = {Organizational Research Methods},
  language = {en},
  number = {1}
}

@article{vandenplasAreInterviewerEffects,
  ids = {vandenplasAreInterviewerEffect,vandenplasAreInterviewerEffectsa},
  title = {Are {{Interviewer Effects}} on {{Interview Speed Related}} to {{Interviewer Effects}} on {{Straight}}-{{Lining Tendency}} in the {{European Social Survey}}? {{An Interviewer}}-{{Related Analysis}}},
  author = {Vandenplas, Caroline and Loosveldt, Geert and Beullens, Koen and Denies, Katrijn},
  doi = {10.1093/jssam/smx034},
  abstract = {{$<$}p{$>$}It can be expected that interview speed and straight-lining tendency are related: a higher speed can lead to an increase in cognitive difficulty, which might be coped with by straight-lining; whereas, straight-lining can decrease response latency and hence increase the interview speed. Previous research shows that interview speed is influenced by the interviewer. Straight-lining tendency and other satisficing symptoms have also been shown to be subject to interviewer effects, albeit to a smaller extent. In the first step in this paper, we analyze interviewer effects on interview speed and straight-lining in one module of the European Social Survey, round 7. We then study the correlation between interview speed and straight-lining, without determining causality, and separate this into an interviewer-level and respondent-level correlation. The results confirm previous findings: a large intra-interviewer correlation coefficient for interview speed and a smaller intra-interviewer correlation coefficient for straight-lining. Further, the results show a significant positive correlation in nine out of fifteen countries at the respondent level and in five (different) countries at the interviewer level. The latter indicates that "fast" interviewers are the ones carrying out interviews during which more straight-lining occurs.{$<$}/p{$>$}},
  journal = {Journal of Survey Statistics and Methodology}
}

@article{vandenplasLinkingInterviewSpeed2019,
  title = {Linking Interview Speed and Interviewer Effects on Target Variables in Face-to-Face Surveys},
  author = {Vandenplas, Caroline and Beullens, Koen and Loosveldt, Geert},
  year = {2019},
  month = dec,
  volume = {13},
  pages = {249--265},
  issn = {1864-3361},
  doi = {10.18148/srm/2018.v13i3.7321},
  abstract = {Research has explained interviewer effects in face-to-face surveys: in terms of question, respondent and interviewer characteristics. In this paper, we relate interview speed to interviewer effects. Three interview types are operationalized (slow, moderate and fast) based on the residual speeds from a model controlling for respondent characteristics. Data from the European Social Survey is used. Results show larger interviewer effects among slow and fast interviews than moderate interviews, although with variations between variables and countries. Assuming that moderate interviews are conducted under standardized interviewing, these results support the idea that deviations from standardized interviewing are linked to greater interviewer effects.},
  copyright = {Copyright (c) 2019 Caroline Vandenplas},
  file = {/home/aleksandar/Zotero/storage/I76TVE5U/7321.html},
  journal = {Survey Research Methods},
  language = {en},
  number = {3}
}

@article{vandenplasModelingWeeklyData2017,
  title = {Modeling the {{Weekly Data Collection Efficiency}} of {{Face}}-to-{{Face Surveys}}: {{Six Rounds}} of the {{European Social Survey}}},
  shorttitle = {Modeling the {{Weekly Data Collection Efficiency}} of {{Face}}-to-{{Face Surveys}}},
  author = {Vandenplas, Caroline and Loosveldt, Geert},
  year = {2017},
  month = jun,
  volume = {5},
  pages = {212--232},
  issn = {2325-0984},
  doi = {10.1093/jssam/smw034},
  abstract = {Abstract.  Understanding the dynamics of the data collection efficiency is key to developing strategies to increase response rates. In this article, we model da},
  file = {/home/aleksandar/Zotero/storage/HKD5LHC3/2903865.html},
  journal = {Journal of Survey Statistics and Methodology},
  language = {en},
  number = {2}
}

@article{vanderlindenYouAreFake2020,
  title = {You Are Fake News: Political Bias in Perceptions of Fake News},
  shorttitle = {You Are Fake News},
  author = {{van der Linden}, Sander and Panagopoulos, Costas and Roozenbeek, Jon},
  year = {2020},
  month = feb,
  pages = {0163443720906992},
  publisher = {{SAGE Publications Ltd}},
  issn = {0163-4437},
  doi = {10.1177/0163443720906992},
  abstract = {Although the rise of fake news is posing an increasing threat to societies worldwide, little is known about what associations the term `fake news' activates in the public mind. Here, we report a psychological bias that we describe as the `fake news effect': the tendency for partisans to use the term `fake news' to discount and discredit ideologically uncongenial media sources. In a national sample of the US population (N\,=\,1000), we elicited top-of-mind associations with the term `fake news'. Consistent with our hypothesis, we find evidence that both liberals and conservatives freely associate traditionally left-wing (e.g. CNN) and right-wing (e.g. Fox News) media sources with the term fake news. Moreover, conservatives are especially likely to associate the mainstream media with the term fake news and these perceptions are generally linked to lower trust in media, voting for Trump, and higher belief in conspiracy theories.},
  journal = {Media, Culture \& Society},
  language = {en}
}

@article{vandermaasPolarizationIndividualsHierarchical2020,
  title = {The Polarization within and across Individuals: The Hierarchical {{Ising}} Opinion Model},
  shorttitle = {The Polarization within and across Individuals},
  author = {{van der Maas}, Han L. J. and Dalege, Jonas and Waldorp, Lourens},
  year = {2020},
  month = apr,
  volume = {8},
  publisher = {{Oxford Academic}},
  doi = {10.1093/comnet/cnaa010},
  abstract = {Abstract.  Polarization of opinions is a societal threat. It involves psychological processes as well as group dynamics, a popular topic in statistical physics.},
  file = {/home/aleksandar/Documents/Zotero/van der Maas et al/van der Maas et al_2020_The polarization within and across individuals.pdf},
  journal = {Journal of Complex Networks},
  language = {en},
  number = {2}
}

@article{vanderweeleDimensionalIndeterminacyOneWave2020,
  title = {On the {{Dimensional Indeterminacy}} of {{One}}-{{Wave Factor Analysis Under Causal Effects}}},
  author = {VanderWeele, Tyler J. and Batty, Charles J. K.},
  year = {2020},
  month = mar,
  abstract = {It is shown, with two sets of survey items that separately load on two distinct factors, independent of one another conditional on the past, that if it is the case that at least one of the factors causally affects the other, then, in equilibrium in many settings, a factor model with a single factor will suffice to capture the structure of the associations among the items. Factor analysis with one wave of data can then not distinguish between factor models with a single factor versus those with two factors that are causally related. Therefore, unless causal relations between factors can be ruled out a priori, alleged empirical evidence from one-wave factor analysis for a single factor effectively provides no information on the actual dimensionality of the true underlying factor structure. The implications for interpreting the factor structure of psychological scales, such as self-report scales for anxiety and depression, are discussed. Some further generalizations to an arbitrary number of underlying factors are noted.},
  archivePrefix = {arXiv},
  eprint = {2001.10352},
  eprinttype = {arxiv},
  journal = {arXiv:2001.10352 [stat]},
  primaryClass = {stat}
}

@article{vandeschootFacingScyllaCharybdis2013,
  ids = {vandeschootFacingScyllaCharybdis2013a},
  title = {Facing off with {{Scylla}} and {{Charybdis}}: A Comparison of Scalar, Partial, and the Novel Possibility of Approximate Measurement Invariance},
  shorttitle = {Facing off with {{Scylla}} and {{Charybdis}}},
  author = {{van de Schoot}, Rens and Kluytmans, Anouck and Tummers, Lars and Lugtig, Peter and Hox, Joop and Muth{\'e}n, Bengt},
  year = {2013},
  volume = {4},
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2013.00770},
  abstract = {Measurement invariance (MI) is a pre-requisite for comparing latent variable scores across groups. The current paper introduces the concept of approximate MI building on the work of Muth\'en and Asparouhov and their application of Bayesian Structural Equation Modeling (BSEM) in the software Mplus. They showed that with BSEM exact zeros constraints can be replaced with approximate zeros to allow for minimal steps away from strict MI, still yielding a well-fitting model. This new opportunity enables researchers to make explicit trade-offs between the degree of MI on the one hand, and the degree of model fit on the other. Throughout the paper we discuss the topic of approximate MI, followed by an empirical illustration where the test for MI fails, but where allowing for approximate MI results in a well-fitting model. Using simulated data, we investigate in which situations approximate MI can be applied and when it leads to unbiased results. Both our empirical illustration and the simulation study show approximate MI outperforms full or partial MI In detecting/recovering the true latent mean difference when there are (many) small differences in the intercepts and factor loadings across groups. In the discussion we provide a step-by-step guide in which situation what type of MI is preferred. Our paper provides a first step in the new research area of (partial) approximate MI and shows that it can be a good alternative when strict MI leads to a badly fitting model and when partial MI cannot be applied.},
  file = {/home/aleksandar/Dropbox/Zotero/van de Schoot et al/van de Schoot et al_2013_Facing off with Scylla and Charybdis.pdf},
  journal = {Frontiers in Psychology},
  language = {en}
}

@article{vanduijnEvolutionSociologyFreshmen2003,
  title = {Evolution of Sociology Freshmen into a Friendship Network},
  author = {{van Duijn}, Marijtje A. J. and Zeggelink, Evelien P. H. and Huisman, Mark and Stokman, Frans N. and Wasseur, Frans W.},
  year = {2003},
  month = apr,
  volume = {27},
  pages = {153--191},
  issn = {0022-250X, 1545-5874},
  doi = {10.1080/00222500305889},
  journal = {The Journal of Mathematical Sociology},
  language = {en},
  number = {2-3}
}

@article{vanhauwaertMeasurementPopulistAttitudes2019,
  title = {The Measurement of Populist Attitudes: {{Testing}} Cross-National Scales Using Item Response Theory},
  shorttitle = {The Measurement of Populist Attitudes},
  author = {Van Hauwaert, Steven M and Schimpf, Christian H and Azevedo, Flavio},
  year = {2019},
  month = jul,
  pages = {026339571985930},
  issn = {0263-3957, 1467-9256},
  doi = {10.1177/0263395719859306},
  abstract = {Recent research in the populism literature has devoted considerable efforts to the conceptualisation and examination of populism on the individual level, that is, populist attitudes. Despite rapid progress in the field, questions of adequate measurement and empirical evaluation of measures of populist attitudes remain scarce. Seeking to remedy these shortcomings, we apply a cross-national measurement model, using item response theory, to six established and two new populist indicators. Drawing on a cross-national survey (nine European countries, n\,=\,18,368), we engage in a four-folded analysis. First, we examine the commonly used 6-item populism scale. Second, we expand the measurement with two novel items. Third, we use the improved 8-item populism scale to further refine equally comprehensive but more concise and parsimonious populist measurements. Finally, we externally validate these sub-scales and find that some of the proposed sub-scales outperform the initial 6- and 8-item scales. We conclude that existing measures of populism capture moderate populist attitudes, but face difficulties measuring more extreme levels, while the individual information of some of the populist items remains limited. Altogether, this provides several interesting routes for future research, both within and between countries.},
  journal = {Politics},
  language = {en}
}

@article{vankesterenStructuralEquationModeling2019,
  title = {Structural {{Equation Modeling}} Using {{Computation Graphs}}},
  author = {{van Kesteren}, Erik-Jan and Oberski, Daniel L.},
  year = {2019},
  month = may,
  abstract = {Structural equation modeling (SEM) is evolving as available data is becoming more complex, reaching the limits of what traditional estimation approaches can achieve. As SEM expands to ever larger, more complex applications, the estimation challenge grows and currently available methods will be insufficient. To overcome this challenge in SEM, we see an opportunity to use existing solutions from the field of deep learning, which has been pioneering methods for estimation of complex models for decades. To this end, this paper introduces computation graphs, a flexible method of specifying objective functions. When combined with state-of-the-art optimizers, we argue that our computation graph approach is capable not only of estimating SEM models, but also of rapidly extending them -- without the need of bespoke software development for each new extension. We show that several SEM improvements follow naturally from our approach; not only existing extensions such as least absolute deviation estimation and penalized regression models, but also novel extensions such as spike-and-slab penalties for sparse factor analysis. By applying computation graphs to SEM, we hope to greatly accelerate the process of developing SEM techniques, paving the way for novel applications. The accompanying R package tensorsem is under active development.},
  archivePrefix = {arXiv},
  eprint = {1905.04492},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/PEZYBPYU/1905.html},
  journal = {arXiv:1905.04492 [stat]},
  primaryClass = {stat}
}

@article{vanklingerenPublicOpinionTwitter2020,
  title = {Public Opinion on {{Twitter}}? {{How}} Vote Choice and Arguments on {{Twitter}} Comply with Patterns in Survey Data, Evidence from the 2016 {{Ukraine}} Referendum in the {{Netherlands}}},
  shorttitle = {Public Opinion on {{Twitter}}?},
  author = {{van Klingeren}, Marijn and Trilling, Damian and M{\"o}ller, Judith},
  year = {2020},
  month = apr,
  issn = {1741-1416},
  doi = {10.1057/s41269-020-00160-w},
  abstract = {Extensive research has been done on how social media have changed democratic society, politics, and public opinion. Social media are often regarded as a mirror of the public that, during political events, provides journalists and academics with a clear image of what position the public has on political issues and which sub-issues it uses to back it up. Yet, there is strong empirical evidence that active Twitter users differ in terms of background characteristics from the electorate, and that the most influential users possess specific traits. However, this does not necessarily mean that the opinions expressed on Twitter cannot reflect public opinion. This study aims to compare sub-issues used on Twitter to polled public opinion data in the context of the 2016 so-called Ukraine referendum' in the Netherlands. Our main findings indicate that there is a remarkable resemblance between the two domains in terms of sub-issues used and prominence of these sub-issues. Yet, this is mostly the case when not taking duplicates or retweets into account. Overall, the Twitter debate showed to be less nuanced than the polled public opinion data, as fewer sub-issues appeared.},
  file = {/home/aleksandar/Dropbox/Zotero/van Klingeren et al/van Klingeren et al_2020_Public opinion on Twitter.pdf},
  journal = {Acta Politica},
  language = {en}
}

@article{vanlaakeGeographicalAnalysisDutch2016,
  title = {A Geographical Analysis of {{Dutch}} Electoral Volatility 1994-2012},
  shorttitle = {A {{Geographical Analysis}} of {{Dutch Electoral Volatility}} 1994-2012},
  author = {Van Laake, Thomas},
  year = {2016},
  month = jul,
  volume = {107},
  pages = {365--374},
  issn = {0040747X},
  doi = {10.1111/tesg.12181},
  journal = {Tijdschrift voor economische en sociale geografie},
  language = {en},
  number = {3}
}

@article{vanoverveldDisgustScaleRValid2011,
  title = {The {{Disgust Scale}}-{{R}}: {{A}} Valid and Reliable Index to Investigate Separate Disgust Domains?},
  shorttitle = {The {{Disgust Scale}}-{{R}}},
  author = {{van Overveld}, Mark and {de Jong}, Peter J. and Peters, Madelon L. and Schouten, Erik},
  year = {2011},
  month = aug,
  volume = {51},
  pages = {325--330},
  issn = {0191-8869},
  doi = {10.1016/j.paid.2011.03.023},
  abstract = {The Disgust Scale (DS; Haidt, McCauley, \& Rozin, 1994) is the most widely used instrument for assessing disgust propensity (i.e., individual tendency to experience disgust). Yet, psychometric evaluations of the DS are scarce while the literature shows that the reliability of its subscales are unacceptably low. Recently, it was suggested to reduce the number of subscales (Olatunji, Sawchuk, de Jong, \& Lohr, 2007a). This study is a first exploration of this reduced three-factor solution in an independent sample. In study I, we examined whether a three-factor solution improves psychometric properties of the DS. Students from Maastricht University (N=535) and the University of Groningen (N=432) completed the DS. In study II, the DS was revised by dropping redundant items and revising its scoring format. The DS-R was administered to students from the University of Groningen (N=472) and Ghent University (N=41) to study its psychometric properties. The revisions improved the psychometric features of the DS, and showed that the DS-R is a valid and reliable index to establish core disgust, animal-reminder disgust, and contamination.},
  file = {/home/aleksandar/Zotero/storage/MFAQ63IN/S0191886911001449.html},
  journal = {Personality and Individual Differences},
  language = {en},
  number = {3},
  series = {Special {{Issue}} on {{Personality}} and {{Economics}}}
}

@article{vanravenzwaaijSimulationStudiesTool,
  title = {Simulation {{Studies}} as a {{Tool}} to {{Understand Bayes Factors}}},
  author = {{van Ravenzwaaij}, Don and Etz, Alexander},
  pages = {26},
  abstract = {When social scientists wish to learn about an empirical phenomenon, they perform an experiment. When they wish to learn about a complex numerical phenomenon, they can perform a simulation study. The goal of this paper is twofold. Firstly, this paper introduces how to set up a simulation study using the relatively simple example of simulating from the prior. Secondly, this paper demonstrates how simulation can be used to learn about the Jeffreys-Zellner-Siow (JZS) Bayes factor: a currently popular implementation of the Bayes factor employed in the BayesFactor R-package and freeware program JASP. Many technical expositions exist on JZS Bayes factors, but these may be somewhat inaccessible to researchers that are not specialized in statistics. This paper aims to show in a step-by-step approach how a simple simulation script can be used to approximate the calculation of the JZS Bayes factor. We explain how a researcher can write such a sampler to approximate JZS Bayes factors in a few lines of code, what the logic is behind the Savage Dickey method used to calculate JZS Bayes factors, and what the practical differences are for different choices of the prior distribution for calculating Bayes factors.},
  language = {en}
}

@article{vanschalkwykCommunitiesSharedInterests2020,
  title = {Communities of Shared Interests and Cognitive Bridges: The Case of the Anti-Vaccination Movement on {{Twitter}}},
  shorttitle = {Communities of Shared Interests and Cognitive Bridges},
  author = {{van Schalkwyk}, Francois and Dudek, Jonathan and Costas, Rodrigo},
  year = {2020},
  month = jun,
  issn = {1588-2861},
  doi = {10.1007/s11192-020-03551-0},
  abstract = {This paper presents an analysis of the anti-vaccination movement's referencing of research articles on the topic of vaccination in the social media network Twitter. Drawing on the concept of bibliographic coupling, the paper demonstrates how Twitter users can be coupled based on articles mentioned on Twitter. The sample applied consists of 113 open access journal articles. The combination of tweeter coupling with the respective stance of Twitter accounts vis-\`a-vis vaccination makes possible the creation of a network graph of tweeters mentioning this corpus of articles. In addition to a common interest in the scientific literature, the findings show distinct communities of shared interests within the anti-vaccination movement, and demonstrate that tweeter coupling can be used to map these distinctive interests. The emergence of Twitter accounts serving as cognitive bridges within and between communities is noted and discussed with regard to their relative positions in the network. This paper's results extend the knowledge on the application of altmetric data to study the interests of non-scientific publics in science; more specifically, it adds to the understanding of the potentials of open science and science\textendash society interactions arising from increased access by non-scientists to scientific publications.},
  file = {/home/aleksandar/Dropbox/Zotero/van Schalkwyk et al/van Schalkwyk et al_2020_Communities of shared interests and cognitive bridges.pdf},
  journal = {Scientometrics},
  language = {en}
}

@article{varmaAnalysisOpinionDynamics2020,
  title = {Analysis of Opinion Dynamics under Binary Exogenous and Endogenous Signals},
  author = {Varma, Vineeth S. and Mor{\u a}rescu, Irinel-Constantin and Ayouni, Mehdi},
  year = {2020},
  month = nov,
  volume = {38},
  pages = {100910},
  issn = {1751570X},
  doi = {10.1016/j.nahs.2020.100910},
  abstract = {We propose and analyze a stochastic model for opinion dynamics over social networks. In the scenario considered, each agent has an opinion level which belongs to a discrete set. At any given time, the agent takes an action 0 or 1 depending on the opinion, and this action can be seen as a binary signal that can influence the other agents in the network. The opinion updates based on the signal from a random neighbor or from an external entity who attempts to manipulate or control the network. In the absence of the external signal or a constant signal, this model is shown to asymptotically produce consensus with a finite number of connected agents. Additionally, the consensus is determined by the signal. On the other hand, when the number of agents is large, the time to achieve consensus can become exponentially large and the dynamics exhibit population equilibrium points that are ''metastable''. These equilibria can be observed with a finite (but large) number of agents through numerical simulations and are shown to persist for a long duration.},
  file = {/home/aleksandar/Documents/Zotero/Varma et al/Varma et al_2020_Analysis of opinion dynamics under binary exogenous and endogenous signals2.pdf},
  journal = {Nonlinear Analysis: Hybrid Systems},
  language = {en}
}

@article{vazquezLargescaleTopologicalDynamical2002,
  title = {Large-Scale Topological and Dynamical Properties of the {{Internet}}},
  author = {V{\'a}zquez, Alexei and {Pastor-Satorras}, Romualdo and Vespignani, Alessandro},
  year = {2002},
  month = jun,
  volume = {65},
  issn = {1063-651X, 1095-3787},
  doi = {10.1103/PhysRevE.65.066130},
  journal = {Physical Review E},
  language = {en},
  number = {6}
}

@book{veberPrivredaDrustvo1976,
  title = {Privreda i Dru\v{s}tvo {{I}}},
  author = {Veber, Maks},
  year = {1976},
  publisher = {{Prosveta}},
  address = {{Beograd}}
}

@article{velezAdaptiveAlphaSignificance2020,
  title = {Adaptive \$\textbackslash alpha\$ {{Significance Level}} for {{Linear Models}}},
  author = {V{\'e}lez, D. and P{\'e}rez, M. E. and Pericchi, L. R.},
  year = {2020},
  month = mar,
  abstract = {We put forward an adaptive alpha that decreases as the information grows, for hypothesis tests in which nested linear models are compared. A less elaborate adaptation was already presented in P\'erez and Pericchi (2014) for comparing general i.i.d. models. In this article we present refined versions to compare nested linear models. This calibration may be interpreted as a Bayes-non-Bayes compromise, and leads to statistical consistency, and most importantly, it is a step forward towards statistics that leads to reproducible scientific findings.},
  archivePrefix = {arXiv},
  eprint = {2003.06938},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Vélez et al/Vélez et al_2020_Adaptive $-alpha$ Significance Level for Linear Models.pdf},
  journal = {arXiv:2003.06938 [stat]},
  language = {en},
  primaryClass = {stat}
}

@article{vendevilleHowOpinionsCrystallise2020,
  title = {How Opinions Crystallise: An Analysis of Polarisation in the Voter Model},
  shorttitle = {How Opinions Crystallise},
  author = {Vendeville, Antoine and Guedj, Benjamin and Zhou, Shi},
  year = {2020},
  month = jun,
  abstract = {We address the phenomenon of sedimentation of opinions in networks. We investigate how agents who never change their minds ("stubborn") can influence the opinion of a social group and foster the formation of polarised communities. We study the voter model in which users are divided in two camps and repeatedly update their opinions based on others they connect with. Assuming a proportion of the agents are stubborn, the distribution of opinions reaches an equilibrium. We give novel formulas based on Markov Chain analysis to compute the distribution of opinions at any time and speed of convergence to stationary equilibrium. Theoretical results are supported by numerical experiments on synthetic data, and we discuss a strategy to mitigate the polarisation phenomenon.},
  archivePrefix = {arXiv},
  eprint = {2006.07265},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Vendeville et al/Vendeville et al_2020_How opinions crystallise.pdf;/home/aleksandar/Zotero/storage/2CMBFH5P/2006.html},
  journal = {arXiv:2006.07265 [cs]},
  primaryClass = {cs}
}

@inproceedings{vendomeHowModelersCode2020,
  title = {How Do Modelers Code Artificial Societies? Investigating Practices and Quality of Netlogo Codes from Large Repositories},
  shorttitle = {How Do Modelers Code Artificial Societies?},
  booktitle = {Proceedings of the 2020 {{Spring Simulation Conference}}},
  author = {Vendome, Christopher and Rao, Dhananjai M. and Giabbanelli, Philippe J.},
  year = {2020},
  month = may,
  pages = {1--12},
  publisher = {{Society for Computer Simulation International}},
  address = {{Fairfax, Virginia}},
  abstract = {Many guidelines have been developed for simulations in general or for agent-based models which support artificial societies. When applying such guidelines to examine existing practices, assessment studies are limited by the artifacts released by modelers. Although code is the final product defining an artificial society, 90\% of the code produced is not released hence previous assessments necessarily focused on higher-level items such as conceptual design or validation. We address this gap by collecting 338 artificial societies from two hosting platforms, CoMSES/OpenABM and GitHub. An innovation of our approach is the use of software engineering techniques to automatically examine the models with respect to items such as commenting the code, using libraries, or dividing code into functions. We found that developers of artificial societies code the decision-making of their agents from scratch in every model, despite the existence of several libraries that could be used as building blocks.},
  file = {/home/aleksandar/Dropbox/Zotero/Vendome et al/Vendome et al_2020_How do modelers code artificial societies.pdf},
  isbn = {978-1-71381-288-3},
  series = {{{SpringSim}} '20}
}

@article{vernon-bidoFindingCoreMembers2020,
  title = {Finding {{Core Members}} of {{Cooperative Games}} Using {{Agent}}-{{Based Modeling}}},
  author = {{Vernon-Bido}, Daniele and Collins, Andrew J.},
  year = {2020},
  month = aug,
  abstract = {Agent-based modeling (ABM) is a powerful paradigm to gain insight into social phenomena. One area that ABM has rarely been applied is coalition formation. Traditionally, coalition formation is modeled using cooperative game theory. In this paper, a heuristic algorithm is developed that can be embedded into an ABM to allow the agents to find coalition. The resultant coalition structures are comparable to those found by cooperative game theory solution approaches, specifically, the core. A heuristic approach is required due to the computational complexity of finding a cooperative game theory solution which limits its application to about only a score of agents. The ABM paradigm provides a platform in which simple rules and interactions between agents can produce a macro-level effect without the large computational requirements. As such, it can be an effective means for approximating cooperative game solutions for large numbers of agents. Our heuristic algorithm combines agent-based modeling and cooperative game theory to help find agent partitions that are members of a games' core solution. The accuracy of our heuristic algorithm can be determined by comparing its outcomes to the actual core solutions. This comparison achieved by developing an experiment that uses a specific example of a cooperative game called the glove game. The glove game is a type of exchange economy game. Finding the traditional cooperative game theory solutions is computationally intensive for large numbers of players because each possible partition must be compared to each possible coalition to determine the core set; hence our experiment only considers games of up to nine players. The results indicate that our heuristic approach achieves a core solution over 90\% of the time for the games considered in our experiment.},
  archivePrefix = {arXiv},
  eprint = {2009.00519},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/JFU6FQUJ/Vernon-Bido_Collins_2020_Finding Core Members of Cooperative Games using Agent-Based Modeling.pdf;/home/aleksandar/Zotero/storage/AQBT48GK/2009.html},
  journal = {arXiv:2009.00519 [cs, econ]},
  primaryClass = {cs, econ}
}

@article{verschoorExploringRelationshipsClimate2020,
  title = {Exploring Relationships between Climate Change Beliefs and Energy Preferences: {{A}} Network Analysis of the {{European Social Survey}}},
  shorttitle = {Exploring Relationships between Climate Change Beliefs and Energy Preferences},
  author = {Verschoor, Mark and Albers, Casper and Poortinga, Wouter and B{\"o}hm, Gisela and Steg, Linda},
  year = {2020},
  month = may,
  pages = {101435},
  issn = {0272-4944},
  doi = {10.1016/j.jenvp.2020.101435},
  abstract = {Understanding public attitudes to climate change and energy preferences is key to a successful transformation to a low-carbon society. While many studies have examined relationships between specific variables, little is known about the breadth of relationships between multiple climate and energy-relevant concepts. In this paper we used network models to explore and visualize relationships between climate change beliefs and energy preferences, using data from Round 8 of the European Social Survey (ESS8). ESS8 was conducted in 22 European countries and Israel. We found positive relationships between climate change salience, climate change beliefs, climate change concern, personal norm, and personal outcome expectancy, in line with prominent theories within the area. Moreover, beliefs on efficacy of actions of different actors (i.e., governments, large groups of people) to reduce climate change were positively related, and participants had consistent preferences for fossil energy sources or renewable energy sources, respectively. Furthermore, two types of energy security concerns could be distinguished, reflecting temporary and long term threats to energy security, respectively. Energy supply source preferences, energy policy support, and energy conservation behaviors were mostly not uniquely related to the other module variables. Furthermore, the relationships between variables, reflected in the network structure, were comparable across countries.},
  file = {/home/aleksandar/Documents/Zotero/Verschoor et al/Verschoor et al_2020_Exploring relationships between climate change beliefs and energy preferences.pdf;/home/aleksandar/Documents/Zotero/Verschoor et al/Verschoor et al_2020_Exploring relationships between climate change beliefs and energy preferences.pdf;/home/aleksandar/Dropbox/research/papers/verschoorExploringRelationshipsClimate2020.md},
  journal = {Journal of Environmental Psychology},
  language = {en}
}

@article{VetoPlayerTheory,
  ids = {VetoPlayerTheorya},
  title = {Veto Player Theory and Reform Making in {{Western Europe}}},
  doi = {10.1111/1475-6765.12226},
  abstract = {{$<$}div class="abstract-group"{$>$}    {$<$}section class="article-section article-section\_\_abstract" lang="en" data-lang="en" id="section-1-en"{$>$}       {$<$}h3 class="article-section\_\_header main abstractlang\_en main"{$>$}Abstract{$<$}/h3{$>$}       {$<$}div class="article-section\_\_content en main"{$>$}                              {$<$}p{$>$}Veto player theory generates predictions about governments' capacity for policy change.             Due to the difficulty of identifying significant laws needed to change the policy             status quo, evidence about governments' ability to change policy has been mostly provided             for a limited number of reforms and single-country studies. To evaluate the predictive             power of veto player theory for policy making across time, policy areas and countries,             a dataset was gathered that incorporates about 5,600 important government reform measures             in the areas of social, labour, economic and taxation policy undertaken in 13 Western             European countries from the mid-1980s until the mid-2000s. Veto player theory is applied             in a combined model with other central theoretical expectations on policy change derived             from political economy (crisis-driven policy change) and partisan theory (ideology-driven             policy change). Robust support is found that governments introduce more reform measures             when economic conditions are poor and when the government is positioned further away             from the policy status quo. No empirical support is found for predictions of veto             player theory in its pure form, where no differentiation between government types             is made. However, the findings provide support for the veto player theory in the special             case of minimal winning cabinets, where the support of all government parties is sufficient             (in contrast to minority cabinets) and necessary (in contrast to oversized cabinets)             for policy change. In particular, it is found that in minimal winning cabinets the             ideological distance between the extreme government parties significantly decreases             the government's ability to introduce reforms. These findings improve our understanding             of reform making in parliamentary democracies and highlight important issues and open             questions for future applications and tests of the veto player theory.          {$<$}/p{$>$}},
  journal = {European Journal of Political Research}
}

@article{vieiraComparativeStudyOverlapping2020,
  title = {A Comparative Study of Overlapping Community Detection Methods from the Perspective of the Structural Properties},
  author = {Vieira, Vin{\'i}cius da Fonseca and Xavier, Carolina Ribeiro and Evsukoff, Alexandre Gon{\c c}alves},
  year = {2020},
  month = dec,
  volume = {5},
  pages = {1--42},
  publisher = {{SpringerOpen}},
  issn = {2364-8228},
  doi = {10.1007/s41109-020-00289-9},
  abstract = {Community detection is one of the most important tasks in network analysis. It is increasingly clear that quality measures are not sufficient for assessing communities and structural properties play a key hole in understanding how nodes are organized in the network. This work presents a comparative study of some representative state-of-the-art methods for overlapping community detection from the perspective of the structural properties of the communities identified by them. Experiments with synthetic and real-world benchmark Ground-Truth networks show that, although the methods are able to identify modular communities, they often miss many structural properties of the communities, such as the number of nodes in the overlapping region and the memberships of the nodes. This is a strong suggestion that a deeper comprehension of the overlapping properties of the communities is needed for the design of more efficient community detection methods.},
  copyright = {2020 The Author(s)},
  file = {/home/aleksandar/Zotero/storage/S46MSZ4Y/Vieira et al_2020_A comparative study of overlapping community detection methods from the.pdf;/home/aleksandar/Zotero/storage/N44TLJ74/s41109-020-00289-9.html},
  journal = {Applied Network Science},
  language = {en},
  number = {1}
}

@inproceedings{vitkovaHybridApproachBots2020,
  title = {Hybrid {{Approach}} for {{Bots Detection}} in {{Social Networks Based}} on {{Topological}}, {{Textual}} and {{Statistical Features}}},
  booktitle = {Proceedings of the {{Fourth International Scientific Conference}} ``{{Intelligent Information Technologies}} for {{Industry}}'' ({{IITI}}'19)},
  author = {Vitkova, Lidia and Kotenko, Igor and Kolomeets, Maxim and Tushkanova, Olga and Chechulin, Andrey},
  editor = {Kovalev, Sergey and Tarassov, Valery and Snasel, Vaclav and Sukhanov, Andrey},
  year = {2020},
  pages = {412--421},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-50097-9_42},
  abstract = {The paper presents a hybrid approach to social network analysis for obtaining information on suspicious user profiles. The offered approach is based on integration of statistical techniques, data mining and visual analysis. The advantage of the proposed approach is that it needs limited kinds of social network data (``likes'' in groups and links between users) which is often in open access. The results of experiments confirming the applicability of the proposed approach are outlined.},
  isbn = {978-3-030-50097-9},
  language = {en},
  series = {Advances in {{Intelligent Systems}} and {{Computing}}}
}

@techreport{voelkelPoliticalInclusionReduces2019,
  title = {Political {{Inclusion Reduces Political Prejudice}}},
  author = {Voelkel, Jan G. and Ren, Dongning and Brandt, Mark John},
  year = {2019},
  month = may,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/dxwpu},
  abstract = {The political divide is characterized by liberals and conservatives who hold strong prejudice against each other. Here we introduce one possible strategy for reducing political prejudice: political inclusion. We define political inclusion as receiving a fair chance to voice one's opinions in a discussion of political topics with political outgroup members. This strategy may reduce political prejudice by inducing perceptions of the political outgroup as fair and respectful; however, such a strategy may also highlight conflicting attitudes and worldviews, thereby further exacerbating prejudice. In three preregistered studies (total N = 799), we test if political inclusion reduces or increases prejudice toward the political outgroup. Specifically, political inclusion was manipulated with either an imagined scenario (Study 1) or a concurrent experience in an ostensible online political discussion (Studies 2 \& 3). Across all studies, participants who were politically included by political outgroup members reported reduced prejudice toward their outgroup compared to participants in a neutral control condition (Cohen's d [-0.27, -0.50]). This effect was mediated by perceptions of the political outgroup as fairer and less dissimilar in their worldviews. Our results indicate that political discussions that are politically inclusive do not cause additional prejudice via worldview conflict, but instead give others a feeling of being heard. It is a promising strategy to reduce political prejudice.},
  type = {Preprint}
}

@article{voitalovWeightedHypersoftConfiguration2020,
  title = {Weighted Hypersoft Configuration Model},
  author = {Voitalov, Ivan and {van der Hoorn}, Pim and Kitsak, Maksim and Papadopoulos, Fragkiskos and Krioukov, Dmitri},
  year = {2020},
  month = jun,
  abstract = {Maximum entropy null models of networks come in different flavors that depend on the type of the constraints under which entropy is maximized. If the constraints are on degree sequences or distributions, we are dealing with configuration models. If the degree sequence is constrained exactly, the corresponding microcanonical ensemble of random graphs with a given degree sequence is the configuration model per se. If the degree sequence is constrained only on average, the corresponding grandcanonical ensemble of random graphs with a given expected degree sequence is the soft configuration model. If the degree sequence is not fixed at all but randomly drawn from a fixed distribution, the corresponding hypercanonical ensemble of random graphs with a given degree distribution is the hypersoft configuration model, a more adequate description of dynamic real-world networks in which degree sequences are never fixed but degree distributions often stay stable. Here, we introduce the hypersoft configuration model of weighted networks. The main contribution is a particular version of the model with power-law degree and strength distributions, and superlinear scaling of strengths with degrees, mimicking the properties of some real-world networks. As a by-product, we generalize the notions of sparse graphons and their entropy to weighted networks.},
  archivePrefix = {arXiv},
  eprint = {2007.00124},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/C26VYVW3/Voitalov et al. - 2020 - Weighted hypersoft configuration model.pdf;/home/aleksandar/Zotero/storage/UWKFPXJR/2007.html},
  journal = {arXiv:2007.00124 [cond-mat, physics:physics]},
  primaryClass = {cond-mat, physics:physics}
}

@article{volinskiyStochasticSearchFairer,
  title = {In ({{Stochastic}}) {{Search}} of a {{Fairer Alife}}.},
  author = {Volinskiy, Dmitriy and Cuthbertson, Lana and Ardakanian, Omid},
  doi = {arXiv:1812.02311v1},
  abstract = {{$<$}p{$>$}Economies and societal structures in general are complex stochastic systems which may not lend themselves well to algebraic analysis. An addition of subjective value criteria to the mechanics of interacting agents will further complicate analysis. The purpose of this short study is to demonstrate capabilities of agent-based computational economics to be a platform for fairness or equity analysis in both a broad and practical sense. {$<$}/p{$>$}},
  journal = {arXiv Computer Science}
}

@article{vranicGrowthSignalsDetermine2020,
  title = {Growth Signals Determine the Topology of Evolving Networks},
  author = {Vrani{\'c}, Ana and Dankulov, Marija Mitrovi{\'c}},
  year = {2020},
  month = sep,
  abstract = {Network science provides an indispensable theoretical framework for studying the structure and function of real complex systems. Different network models are often used for finding the rules that govern their evolution, whereby the correct choice of model details is crucial for obtaining relevant insights. We here study how the structure of networks generated with the aging nodes model depends on the properties of the growth signal. We use different fluctuating signals and compare structural dissimilarities of the networks with those obtained with a constant growth signal. We show that networks with power-law degree distributions, which are obtained with time-varying growth signals, are correlated and clustered, while networks obtained with a constant growth signal are not. Indeed, the properties of the growth signal significantly determine the topology of the obtained networks and thus ought to be considered prominently in models of complex systems.},
  archivePrefix = {arXiv},
  eprint = {2009.00444},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/JGPNS5VC/Vranić_Dankulov_2020_Growth signals determine the topology of evolving networks.pdf;/home/aleksandar/Zotero/storage/ZY7XD32C/2009.html},
  journal = {arXiv:2009.00444 [physics]},
  primaryClass = {physics}
}

@article{vucicevicParlamentarniIzboriSrbiji2016,
  title = {Parlamentarni Izbori u {{Srbiji}} 2016},
  author = {Vu{\v c}i{\'c}evi{\'c}, Du{\v s}an},
  year = {2016},
  volume = {25},
  pages = {24--31},
  journal = {Politi\v{c}ke analize},
  number = {7}
}

@article{vuDYNAMICSOPINIONFORMATION,
  title = {{{DYNAMICS OF OPINION FORMATION ON COMPLEX SOCIAL NETWORKS}}},
  author = {Vu, Nguyen Xuan},
  pages = {134},
  file = {/home/aleksandar/Zotero/storage/R3ZLYQHQ/Vu - DYNAMICS OF OPINION FORMATION ON COMPLEX SOCIAL NE.pdf},
  language = {en}
}

@inproceedings{vuEdgeBetweennessCentrality2020,
  title = {Edge {{Betweenness Centrality}} on {{Trees}}},
  booktitle = {2020 {{Second International Conference}} on {{Transdisciplinary AI}} ({{TransAI}})},
  author = {Vu, J. and Potika, K.},
  year = {2020},
  month = sep,
  pages = {104--107},
  doi = {10.1109/TransAI49837.2020.00023},
  abstract = {Computing the edge betweenness centrality is an important step in a great deal of the analysis tasks of community structures in complex networks. It mostly serves as a measure for the traffic or flow of a particular edge in connecting various parts or communities together. Various algorithms that compute the edge betweenness centrality in general graphs exist but they are expensive. In this paper, we design an algorithm that takes advantage of the structure of tree graphs to compute the edge betweenness centrality more efficiently in such graphs and perform experiments on random graphs.},
  file = {/home/aleksandar/Zotero/storage/BN2IWP6D/9253133.html},
  keywords = {Community detection,Edge betweenness centrality,random graphs,trees}
}

@techreport{wagemansDisgustSensitivityMoral2017,
  title = {Disgust Sensitivity and Moral Judgments of Purity: {{The}} Role of Transgression Weirdness},
  shorttitle = {Disgust Sensitivity and Moral Judgments of Purity},
  author = {Wagemans, Fieke Maria Antoinet and Brandt, Mark John and Zeelenberg, Marcel},
  year = {2017},
  month = aug,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/c5h42},
  abstract = {Disgust sensitivity is more strongly related to moral judgments in the purity domain than to moral judgments in other moral domains. While this finding highlights the distinctiveness of moral domains, anti-modularity accounts suggest that the relationship is caused by the relative weirdness of purity transgressions and come to the conclusion that moral domains do not represent distinct mechanisms. In two studies (total N = 2,307), we test whether transgression weirdness accounts for disgust sensitivity's stronger association with moral judgments of the purity as compared to other moral domains, but find little evidence for this claim. The relationship between disgust sensitivity and moral judgments of purity even remains when taking into account both (perceived) weirdness and (perceived) harmfulness of moral transgressions. These studies show that transgression weirdness and harmfulness cannot explain the disgust sensitivity\textendash purity link, contradicting predictions following from popular anti-modularity accounts.},
  type = {Preprint}
}

@article{wagemansDisgustSensitivityPrimarily2018,
  title = {Disgust Sensitivity Is Primarily Associated with Purity-Based Moral Judgments},
  author = {Wagemans, Fieke M. A. and Brandt, Mark J. and Zeelenberg, Marcel},
  year = {2018},
  month = mar,
  volume = {18},
  pages = {277--289},
  issn = {1931-1516},
  doi = {10.1037/emo0000359},
  abstract = {Individual differences in disgust sensitivity are associated with a range of judgments and attitudes related to the moral domain. Some perspectives suggest that the association between disgust sensitivity and moral judgments will be equally strong across all moral domains (i.e., purity, authority, loyalty, care, fairness, and liberty). Other perspectives predict that disgust sensitivity is primarily associated with judgments of specific moral domains (e.g., primarily purity). However, no study has systematically tested if disgust sensitivity is associated with moral judgments of the purity domain specifically, more generally to moral judgments of the binding moral domains, or to moral judgments of all of the moral domains equally. Across 5 studies (total N = 1,104), we find consistent evidence for the notion that disgust sensitivity relates more strongly to moral condemnation of purity-based transgressions (meta-analytic r = .40) than to moral condemnation of transgressions of any of the other domains (range meta-analytic rs: .07-.27). Our findings are in line with predictions from Moral Foundations Theory, which predicts that personality characteristics like disgust sensitivity make people more sensitive to a certain set of moral issues. (PsycINFO Database Record},
  journal = {Emotion (Washington, D.C.)},
  language = {eng},
  number = {2},
  pmid = {28872334}
}

@article{wagemansWeirdnessDisgustSensitivity2019,
  title = {Weirdness of Disgust Sensitivity Items Predicts Their Relationship to Purity Moral Judgments},
  author = {Wagemans, Fieke M. A. and Brandt, Mark J. and Zeelenberg, Marcel},
  year = {2019},
  month = aug,
  volume = {146},
  pages = {182--187},
  issn = {0191-8869},
  doi = {10.1016/j.paid.2018.07.042},
  abstract = {Disgust sensitivity predicts judgments of moral issues, especially when they concern transgressions of the purity domain. The reason for this domain-specific relationship is unclear. One potential explanation is that measures of disgust sensitivity and purity transgressions share an important characteristic: They are weird. We test this ``weirdness overlap'' hypothesis by examining whether weirdness of disgust sensitivity items relates to purity moral judgments (total N = 805). Weirder disgust sensitivity items were more strongly associated with moral judgments of purity, but not care, transgressions, suggesting support for the weirdness overlap hypothesis. However, the implications of this finding are limited as we find that eliminating the weirdest items from disgust sensitivity measures does not affect the tendency for the association between disgust sensitivity and moral judgments to be especially pronounced for purity transgressions. Although weirdness of disgust sensitivity items is associated with the disgust sensitivity-purity link, it cannot explain why disgust sensitivity is more strongly related to moral judgments of purity transgressions.},
  file = {/home/aleksandar/Zotero/storage/ERCYNS5B/S0191886918304380.html},
  journal = {Personality and Individual Differences},
  language = {en}
}

@article{waggonerSimpleMethodPurging2020,
  title = {A {{Simple Method}} for {{Purging Mediation Effects}}},
  author = {Waggoner, Philip D.},
  year = {2020},
  month = apr,
  volume = {14},
  pages = {25},
  issn = {1559-8616},
  doi = {10.1007/s42519-020-00095-7},
  abstract = {Mediation effects occur when an independent variable lies in the causal path of another independent variable, thereby swamping its effects. Mediation effects can impact the ability to accurately estimate some quantity of interest. A simple solution for addressing this issue is regressing the treatment variable on the mediator variable and then use the stored residuals from this bivariate specification as the new ``direct'' variable. This residualized purging process, which is the core of a recently released R package, purging, is detailed in this paper. The goal at present is to offer researchers and practitioners an application using both simulated and real data to introduce and demonstrate the value of the purging solution, applied via the purging package, to efficiently address mediation effects. A second order goal of the paper is to underscore the value of writing software to streamline research processes.},
  journal = {Journal of Statistical Theory and Practice},
  language = {en},
  number = {2}
}

@article{wainwrightGraphicalModelsExponential2007,
  title = {Graphical {{Models}}, {{Exponential Families}}, and {{Variational Inference}}},
  author = {Wainwright, Martin J. and Jordan, Michael I.},
  year = {2007},
  volume = {1},
  pages = {1--305},
  issn = {1935-8237, 1935-8245},
  doi = {10.1561/2200000001},
  journal = {Foundations and Trends\textregistered{} in Machine Learning},
  language = {en},
  number = {1\textendash 2}
}

@article{waldorpInterventionUndirectedIsing,
  title = {Intervention in Undirected {{Ising}} Graphs and the Partition Function. ({{arXiv}}:1905.11502v1 [Stat.{{ME}}])},
  author = {Waldorp, Lourens and Marsman, Maarten},
  doi = {arXiv:1905.11502v1},
  abstract = {Undirected graphical models have many applications in such areas as machine learning, image processing, and, recently, psychology. Psychopathology in particular has received a lot of attention, where symptoms of disorders are assumed to influence each other. One of the most relevant questions practically is on which symptom (node) to intervene to have the most impact. Interventions in undirected graphical models is equal to conditioning, and so we have available the machinery with the Ising model to determine the best strategy to intervene. In order to perform such calculations the partition function is required, which is computationally difficult. Here we use a Curie-Weiss approach to approximate the partition function in applications of interventions. We show that when the connection weights in the graph are equal within each clique then we obtain exactly the correct partition function. And if the weights vary according to a sub-Gaussian distribution, then the approximation is exponentially close to the correct one. We confirm these results with simulations.},
  journal = {arXiv Methodology}
}

@article{waldorpInterventionUndirectedIsinga,
  title = {Intervention in Undirected {{Ising}} Graphs and the Partition Function. ({{arXiv}}:1905.11502v1 [Stat.{{ME}}])},
  author = {Waldorp, Lourens and Marsman, Maarten},
  doi = {arXiv:1905.11502v1},
  abstract = {Undirected graphical models have many applications in such areas as machine learning, image processing, and, recently, psychology. Psychopathology in particular has received a lot of attention, where symptoms of disorders are assumed to influence each other. One of the most relevant questions practically is on which symptom (node) to intervene to have the most impact. Interventions in undirected graphical models is equal to conditioning, and so we have available the machinery with the Ising model to determine the best strategy to intervene. In order to perform such calculations the partition function is required, which is computationally difficult. Here we use a Curie-Weiss approach to approximate the partition function in applications of interventions. We show that when the connection weights in the graph are equal within each clique then we obtain exactly the correct partition function. And if the weights vary according to a sub-Gaussian distribution, then the approximation is exponentially close to the correct one. We confirm these results with simulations.},
  journal = {arXiv Methodology}
}

@article{waldorpLogisticRegressionIsing2019,
  title = {Logistic Regression and {{Ising}} Networks: Prediction and Estimation When Violating Lasso Assumptions},
  shorttitle = {Logistic Regression and {{Ising}} Networks},
  author = {Waldorp, Lourens and Marsman, Maarten and Maris, Gunter},
  year = {2019},
  month = apr,
  volume = {46},
  pages = {49--72},
  issn = {1349-6964},
  doi = {10.1007/s41237-018-0061-0},
  abstract = {The Ising model was originally developed to model magnetisation of solids in statistical physics. As a network of binary variables with the probability of becoming 'active' depending only on direct neighbours, the Ising model appears appropriate for many other processes. For instance, it was recently applied in psychology to model co-occurrences of mental disorders. It has been shown that the connections between the variables (nodes) in the Ising network can be estimated with a series of logistic regressions. This naturally leads to questions of how well such a model predicts new observations and how well parameters of the Ising model can be estimated using logistic regressions. Here we focus on the high-dimensional setting with more parameters than observations and consider violations of assumptions of the lasso. In particular, we determine the consequences for both prediction and estimation when the sparsity and restricted eigenvalue assumptions are not satisfied. We explain using the idea of connected copies (extreme multicollinearity) the fact that prediction becomes better when either sparsity or multicollinearity is not satisfied. We illustrate these results with simulations.},
  file = {/home/aleksandar/Dropbox/Zotero/Waldorp et al/Waldorp et al_2019_Logistic regression and Ising networks2.pdf},
  journal = {Behaviormetrika},
  language = {en},
  number = {1}
}

@article{wallCoordinationErroneousCommunication,
  title = {Coordination with Erroneous Communication: Results of an Agent-Based Simulation},
  author = {Wall, Friederike},
  doi = {10.1007/s10115-018-1292-9},
  abstract = {{$<$}h3 class="a-plus-plus"{$>$}Abstract{$<$}/h3{$>$}                   {$<$}p class="a-plus-plus"{$>$}Coordination among agents performing interdependent tasks in a distributed problem-solving system is of crucial relevance with respect to the overall performance achieved by the system. Various forms of coordination require communication among agents which may accidentally be distorted. This paper investigates how sensitive different coordination mechanisms, employed in distributed problem-solving systems, are to unintentional communication errors. For this, an agent-based simulation based on the framework of NK fitness landscapes is employed. The study controls for different levels of erroneous communication and complexity of the problems to be solved collaboratively. The results provide broad, though not universal support for detrimental effects of erroneous communication and suggest that the various coordination mechanisms under investigation show different sensitivity to communication errors. Moreover, the results indicate that the complexity of the overall problem to be solved and the objectives pursued by the agents considerably shape the robustness of coordination mechanisms against erroneous communication. The results shed some new light on the relation between communication and coordination and, in particular, may contribute to the organizational design of error tolerant systems.{$<$}/p{$>$}},
  journal = {Knowledge and Information Systems}
}

@article{wallerCommunityEmbeddingsReveal2020,
  title = {Community Embeddings Reveal Large-Scale Cultural Organization of Online Platforms},
  author = {Waller, Isaac and Anderson, Ashton},
  year = {2020},
  month = oct,
  abstract = {Optimism about the Internet's potential to bring the world together has been tempered by concerns about its role in inflaming the 'culture wars'. Via mass selection into like-minded groups, online society may be becoming more fragmented and polarized, particularly with respect to partisan differences. However, our ability to measure the cultural makeup of online communities, and in turn understand the cultural structure of online platforms, is limited by the pseudonymous, unstructured, and large-scale nature of digital discussion. Here we develop a neural embedding methodology to quantify the positioning of online communities along cultural dimensions by leveraging large-scale patterns of aggregate behaviour. Applying our methodology to 4.8B Reddit comments made in 10K communities over 14 years, we find that the macro-scale community structure is organized along cultural lines, and that relationships between online cultural concepts are more complex than simply reflecting their offline analogues. Examining political content, we show Reddit underwent a significant polarization event around the 2016 U.S. presidential election, and remained highly polarized for years afterward. Contrary to conventional wisdom, however, instances of individual users becoming more polarized over time are rare; the majority of platform-level polarization is driven by the arrival of new and newly political users. Our methodology is broadly applicable to the study of online culture, and our findings have implications for the design of online platforms, understanding the cultural contexts of online content, and quantifying cultural shifts in online behaviour.},
  archivePrefix = {arXiv},
  eprint = {2010.00590},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Waller_Anderson/Waller_Anderson_2020_Community embeddings reveal large-scale cultural organization of online.pdf;/home/aleksandar/Zotero/storage/7KT6VMKA/2010.html},
  journal = {arXiv:2010.00590 [cs]},
  primaryClass = {cs}
}

@article{wallotAnalyzingMultivariateDynamics2018,
  title = {Analyzing {{Multivariate Dynamics Using Cross}}-{{Recurrence Quantification Analysis}} ({{CRQA}}), {{Diagonal}}-{{Cross}}-{{Recurrence Profiles}} ({{DCRP}}), and {{Multidimensional Recurrence Quantification Analysis}} ({{MdRQA}}) \textendash{} {{A Tutorial}} in {{R}}},
  author = {Wallot, Sebastian and Leonardi, Giuseppe},
  year = {2018},
  volume = {9},
  publisher = {{Frontiers}},
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2018.02232},
  abstract = {In recent years, increasing interest has emerged in the behavioral, cognitive and social sciences towards methods drawn from dynamic systems analysis. This might be because of the recognition that many behavioral and neurophysiological processes are intrinsically time dependent and reliant on environmental and social context. One of the methods that has enjoyed a particular gain in interest is Recurrence Quantification Analysis (RQA). Particularly, advances towards a multivariate analysis of behavioral dynamics have been made thanks to this method, which comes in various types of analyses addressing different questions. These analyses are useful for assessing the strength of coupling/correlation between two or more time-series, particularly if these time-series are nonstationary or have complicated dynamics, such as in longer recordings of continuous physiological or movement data, but also in the case of time-series of symbolic data. What has been limiting the use of recurrence-based analyses though, is that none of the techniques are implemented in standard commercial statistical software packages (such as STATA, JMP, SPSS etc.). As far as libraries are available (e.g. in Matlab or R) many of them require a certain expertise in programming. In this paper, we aim at filling this gap, explaining multivariate recurrence-based analyses conceptually and practically, drawing on a variety of R-functions than implement these methods. Particularly, we will introduce Cross-Recurrence Quantification Analysis (CRQA), Diagonal Cross Recurrence Profiles (DCRP) and Multidimensional Recurrence Quantification Analysis (MdRQA), showing in a step-by-step process how the analyses are performed and summarizing the current best practice of their application.},
  file = {/home/aleksandar/Dropbox/Zotero/Wallot_Leonardi/Wallot_Leonardi_2018_Analyzing Multivariate Dynamics Using Cross-Recurrence Quantification Analysis.pdf},
  journal = {Frontiers in Psychology},
  keywords = {cross-recurrence quantification analysis,Diagonal Cross-Recurrence Profile,Multidimensional Recurrence Quantification Analysis,r,RQA,tutorial},
  language = {English}
}

@article{walshGraphicalApproachDiagnosing2012,
  title = {A {{Graphical Approach}} to {{Diagnosing}} the {{Validity}} of the {{Conditional Independence Assumptions}} of a {{Bayesian Network Given Data}}},
  author = {Walsh, Stephen and Whitney, Paul},
  year = {2012},
  month = oct,
  volume = {21},
  pages = {961--978},
  issn = {1061-8600, 1537-2715},
  doi = {10.1080/10618600.2012.657122},
  journal = {Journal of Computational and Graphical Statistics},
  language = {en},
  number = {4}
}

@article{walterPersonalisedDynamicTrust2009,
  title = {Personalised and {{Dynamic Trust}} in {{Social Networks}}},
  author = {Walter, Frank E. and Battiston, Stefano and Schweitzer, Frank},
  year = {2009},
  month = may,
  abstract = {We propose a novel trust metric for social networks which is suitable for application in recommender systems. It is personalised and dynamic and allows to compute the indirect trust between two agents which are not neighbours based on the direct trust between agents that are neighbours. In analogy to some personalised versions of PageRank, this metric makes use of the concept of feedback centrality and overcomes some of the limitations of other trust metrics.In particular, it does not neglect cycles and other patterns characterising social networks, as some other algorithms do. In order to apply the metric to recommender systems, we propose a way to make trust dynamic over time. We show by means of analytical approximations and computer simulations that the metric has the desired properties. Finally, we carry out an empirical validation on a dataset crawled from an Internet community and compare the performance of a recommender system using our metric to one using collaborative filtering.},
  archivePrefix = {arXiv},
  eprint = {0902.1475},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Walter et al/Notes.pdf;/home/aleksandar/Documents/Zotero/Walter et al/Walter et al_2009_Personalised and Dynamic Trust in Social Networks.pdf;/home/aleksandar/Zotero/storage/J72IVRAI/0902.html},
  journal = {arXiv:0902.1475 [physics]},
  primaryClass = {physics}
}

@article{wangAdaptiveEstimationStatistical2020,
  title = {Adaptive {{Estimation}} and {{Statistical Inference}} for {{High}}-{{Dimensional Graph}}-{{Based Linear Models}}},
  author = {Wang, Duzhe and Loh, Po-Ling},
  year = {2020},
  month = jan,
  abstract = {We consider adaptive estimation and statistical inference for high-dimensional graph-based linear models. In our model, the coordinates of regression coefficients correspond to an underlying undirected graph. Furthermore, the given graph governs the piecewise polynomial structure of the regression vector. In the adaptive estimation part, we apply graph-based regularization techniques and propose a family of locally adaptive estimators called the Graph-PiecewisePolynomial-Lasso. We further study a one-step update of the Graph-Piecewise-PolynomialLasso for the problem of statistical inference. We develop the corresponding theory, which includes the fixed design and the sub-Gaussian random design. Finally, we illustrate the superior performance of our approaches by extensive simulation studies and conclude with an application to an Arabidopsis thaliana microarray dataset.},
  archivePrefix = {arXiv},
  eprint = {2001.10679},
  eprinttype = {arxiv},
  journal = {arXiv:2001.10679 [math, stat]},
  language = {en},
  primaryClass = {math, stat}
}

@article{wangBayesianTwolevelModel2019,
  title = {Bayesian {{Two}}-Level {{Model}} for {{Repeated Partially Ordered Responses}}: {{Application}} to {{Adolescent Smoking Behavior Analysis}}},
  shorttitle = {Bayesian {{Two}}-Level {{Model}} for {{Repeated Partially Ordered Responses}}},
  author = {Wang, Xiaoqing and Wu, Haotian and Feng, Xiangnan and Song, Xinyuan},
  year = {2019},
  month = mar,
  pages = {0049124119826149},
  issn = {0049-1241},
  doi = {10.1177/0049124119826149},
  abstract = {Given the questionnaire design and the nature of the problem, partially ordered data that are neither completely ordered nor completely unordered are frequently encountered in social, behavioral, and medical studies. However, early developments in partially ordered data analysis are very limited and restricted only to cross-sectional data. In this study, we propose a Bayesian two-level regression model for analyzing repeated partially ordered responses in longitudinal data. The first-level model is defined for partially ordered observations of interest that are taken at each time point nested within individuals, while the second-level model is defined for individuals to assess the effects of their characteristics on the first-level model. A full Bayesian approach with the Markov chain Monte Carlo algorithm is developed for statistical inference. Simulation studies demonstrate the satisfactory performance of the developed methodology. The methodology is then applied to a longitudinal study on adolescent smoking behavior.},
  journal = {Sociological Methods \& Research},
  language = {en}
}

@misc{wangCollectiveBehaviorsSelfExcitation2020,
  title = {The {{Collective Behaviors}} of {{Self}}-{{Excitation Information Diffusion Processes}} for a {{Large Number}} of {{Individuals}}},
  author = {Wang, Lifu and Shen, Bo},
  year = {2020},
  month = aug,
  volume = {2020},
  pages = {e1861583},
  publisher = {{Hindawi}},
  issn = {1076-2787},
  doi = {10.1155/2020/1861583},
  abstract = {The opinion dynamics is a complex and interesting process, especially for the systems with a large number of individuals. It is usually hard to describe the evolutionary features of these systems. In some previous works, it has been shown that the self-excitation type model has superior performance in learning and predicting opinions. Following this line, we consider the self-excitation opinion model and study the collective behaviors of the self-excitation model. We propose a Mckean\textendash Vlasov-type integrodifferential equation to describe the asymptotic behaviors of the model and show that the introduced equation, by coupling with the initial distribution, has the ability of capturing the influence of the self-excitation process, which describes the mutually exciting and recurrent nature of individuals. We also find that the steady-state distribution is a ``contraction'' of the initial distribution in the linear and bounded confidence (DW model) interaction cases, which is different from the results of the model with nonself-excitation interaction.},
  file = {/home/aleksandar/Documents/Zotero/Wang_Shen/Wang_Shen_2020_The Collective Behaviors of Self-Excitation Information Diffusion Processes for.pdf;/home/aleksandar/Zotero/storage/EWPIZFMT/1861583.html},
  howpublished = {https://www.hindawi.com/journals/complexity/2020/1861583/},
  journal = {Complexity},
  language = {en},
  type = {Research {{Article}}}
}

@inproceedings{wangDiffusionTrustCooperation2016,
  title = {The {{Diffusion}} of {{Trust}} and {{Cooperation}} in {{Teams}} with {{Individuals}}- {{Variations}} on {{Baseline Trust}}},
  booktitle = {Proceedings of the 19th {{ACM Conference}} on {{Computer}}-{{Supported Cooperative Work}} \& {{Social Computing}} - {{CSCW}} '16},
  author = {Wang, Yi and Redmiles, David},
  year = {2016},
  pages = {302--317},
  publisher = {{ACM Press}},
  address = {{San Francisco, California, USA}},
  doi = {10.1145/2818048.2820064},
  abstract = {Baseline trust, which refers to the personality aspect of trust and varies with different individuals, is essential for understanding the development of trust and cooperation in a team. At the same time, informal, non-work-related conversations (aka, cheap talk) have positive influences on the diffusion of trust and cooperation in global software engineering (GSE) practice. This paper seeks to develop an understanding of the influences of individuals' baseline trust on the diffusion of trust and cooperation, in the presence of cheap talk over the Internet. We employ a novel approach, designing a virtual experiment that integrates abstract agent-based modeling and simulation with realistic, empirical network structures and baseline trust data from two large open source projects (Apache LUCENE and Google CHROMIUM OS). The results highlight the significant impact of baseline trust on the diffusion of trust and cooperation, for instance, the emergence of non-traditional diffusion trajectories. The results also demonstrate that proper seeding strategies can improve the effectiveness and efficiency of diffusion of trust and cooperation.},
  file = {/home/aleksandar/Dropbox/Zotero/Wang_Redmiles/Wang_Redmiles_2016_The Diffusion of Trust and Cooperation in Teams with Individuals- Variations on.pdf},
  isbn = {978-1-4503-3592-8},
  language = {en}
}

@article{wangEffectiveScalableOverlapping2021,
  title = {An Effective and Scalable Overlapping Community Detection Approach: {{Integrating}} Social Identity Model and Game Theory},
  shorttitle = {An Effective and Scalable Overlapping Community Detection Approach},
  author = {Wang, Yuyao and Bu, Zhan and Yang, Huan and Li, Hui-Jia and Cao, Jie},
  year = {2021},
  month = feb,
  volume = {390},
  pages

license: MIT

repository: atomashevic/website-at

license_type: permissive

repo_name: atomashevic/website-at

branch_name: refs/heads/master

extension: bib