text:
1) three-level Generalized Linear Mixed Models (GLMMs), (2) three-level GLMMs with anchor items, and (3) item-wise multilevel logistic regression (ML-LR) controlling for the estimated trait score. In a simulation study, the magnitude of RGDIF and the covariance of the item difficulties on the group level were varied. When group level effects were independent, all three methods performed well. With correlated DIF, estimated variances on the group level were biased with the full three-level GLMM and ML-LR. This bias was more pronounced for ML-LR than for the full three-level GLMM. Using a three-level GLMM with anchor items allowed unbiased estimation of RG-DIF.},
  file = {/home/aleksandar/Dropbox/Zotero/Hartig et al/Hartig et al_Using a multilevel random item Rasch model to examine item difficulty variance.pdf},
  language = {en}
}

@article{hartleNetworkComparisonWithinensemble2020,
  title = {Network Comparison and the Within-Ensemble Graph Distance},
  author = {Hartle, Harrison and Klein, Brennan and McCabe, Stefan and Daniels, Alexander and {St-Onge}, Guillaume and Murphy, Charles and {H{\'e}bert-Dufresne}, Laurent},
  year = {2020},
  month = aug,
  doi = {10.1098/rspa.2019.0744},
  abstract = {Quantifying the differences between networks is a challenging and ever-present problem in network science. In recent years a multitude of diverse, ad hoc solutions to this problem have been introduced. Here we propose that simple and well-understood ensembles of random networks (such as Erd\textbackslash H\{o\}s-R\textbackslash '\{e\}nyi graphs, random geometric graphs, Watts-Strogatz graphs, the configuration model, and preferential attachment networks) are natural benchmarks for network comparison methods. Moreover, we show that the expected distance between two networks independently sampled from a generative model is a useful property that encapsulates many key features of that model. To illustrate our results, we calculate this within-ensemble graph distance and related quantities for classic network models (and several parameterizations thereof) using 20 distance measures commonly used to compare graphs. The within-ensemble graph distance provides a new framework for developers of graph distances to better understand their creations and for practitioners to better choose an appropriate tool for their particular task.},
  archivePrefix = {arXiv},
  eprint = {2008.02415},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Hartle et al/Hartle et al_2020_Network comparison and the within-ensemble graph distance.pdf;/home/aleksandar/Zotero/storage/J32UBSV6/2008.html},
  journal = {arXiv:2008.02415 [physics]},
  keywords = {Computer Science - Social and Information Networks,Physics - Physics and Society},
  primaryClass = {physics}
}

@article{hashimHighModernismIts,
  title = {``{{High}} Modernism'' and Its Limits \textendash{} {{Assessing}} State Incapacity in {{Putin}}'s {{Russia}}, 2000\textendash 2008},
  author = {Hashim, S. Mohsin},
  doi = {S0967067X17300302},
  abstract = {This paper uses an analytical framework developed from James C. Scott's concept of state-sponsored ``high modernism'' to understand the scope and limits of Putin's attempt to reconfigure state-society relations under the guise of ``managed democracy.'' It argues that Kremlin, under Putin's first two presidential terms (2000\textendash 2008), attempted to treat society as a reified object separate from the state and as an object of management. The paper analyzes the Russian state's weak regulatory capacity that coexists with its relatively strong coercive and extractive capacities. It is argued that, in spite of accessing vast resources from the energy sector, the state under Putin's presidency was unable to successfully carry out civil service reform or implement critical reforms in the pension and housing sectors. The analytical framework used offers insights into the limits of authoritarian state-crafting and modernization in contemporary Russia.},
  journal = {Communist and Post-Communist Studies}
}

@article{hashimHighModernismItsa,
  title = {``{{High}} Modernism'' and Its Limits \textendash{} {{Assessing}} State Incapacity in {{Putin}}'s {{Russia}}, 2000\textendash 2008},
  author = {Hashim, S. Mohsin},
  doi = {S0967067X17300302},
  abstract = {This paper uses an analytical framework developed from James C. Scott's concept of state-sponsored ``high modernism'' to understand the scope and limits of Putin's attempt to reconfigure state-society relations under the guise of ``managed democracy.'' It argues that Kremlin, under Putin's first two presidential terms (2000\textendash 2008), attempted to treat society as a reified object separate from the state and as an object of management. The paper analyzes the Russian state's weak regulatory capacity that coexists with its relatively strong coercive and extractive capacities. It is argued that, in spite of accessing vast resources from the energy sector, the state under Putin's presidency was unable to successfully carry out civil service reform or implement critical reforms in the pension and housing sectors. The analytical framework used offers insights into the limits of authoritarian state-crafting and modernization in contemporary Russia.},
  journal = {Communist and Post-Communist Studies}
}

@techreport{haslbeckEstimatingGroupDifferences2020,
  title = {Estimating {{Group Differences}} in {{Network Models}} Using {{Moderation Analysis}}},
  author = {Haslbeck, Jonas M B},
  year = {2020},
  month = may,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/926pv},
  abstract = {Statistical network models such as the Gaussian Graphical Model and the Ising model have become popular tools to analyze multivariate psychological data sets. In many applications the goal is to compare such network models across groups. In this paper I introduce a method to estimate differences in network models across groups that is based on moderation analysis. This method is attractive because it allows to make comparisons across more than two groups within a single model, and because it is implemented for all commonly used cross-sectional network models. Next to introducing the method, I evaluate the performance of the proposed method and existing approaches in a simulation study. Finally, I provide a fully reproducible tutorial on how to use the moderation method to compare a network model across three groups using the R-package mgm.},
  file = {/home/aleksandar/Documents/Zotero/Haslbeck/Haslbeck_2020_Estimating Group Differences in Network Models using Moderation Analysis.pdf;/home/aleksandar/Dropbox/research/papers/haslbeckEstimatingGroupDifferences2020.md},
  language = {en},
  type = {Preprint}
}

@article{haslbeckInterpretingIsingModel,
  ids = {haslbeckInterpretingIsingModelb},
  title = {Interpreting the {{Ising Model}}: {{The Input Matters}}.},
  author = {Haslbeck, Jonas and Epskamp, Sacha and Marsman, Maarten and Waldorp, Lourens},
  doi = {arXiv:1811.02916v2},
  abstract = {{$<$}p{$>$}The Ising model is a model for pairwise interactions between binary variables that has become popular in the psychological sciences. It has been first introduced as a theoretical model for the alignment between positive (+1) and negative (-1) atom spins. In many psychological applications, however, the Ising model is defined in the domain \$\textbackslash\{0,1\textbackslash\}\$ instead of the classical domain \$\textbackslash\{-1,1\textbackslash\}\$. While it is possible to transform the parameters of a given Ising model in one domain to obtain a statistically equivalent model in the other domain, the parameters in the two versions of the Ising model lend themselves to different interpretations and imply different dynamics, when studying the Ising model as a dynamical system. In this tutorial paper, we provide an accessible discussion of the interpretation of threshold and interaction parameters in the two domains and show how the dynamics of the Ising model depends on the choice of domain. Finally, we provide a transformation that allows to transform the parameters in an Ising model in one domain into a statistically equivalent Ising model in the other domain. {$<$}/p{$>$}},
  journal = {arXiv Methodology}
}

@article{haslbeckMgmEstimatingTimevarying2015,
  title = {Mgm: {{Estimating}} Time-Varying Mixed Graphical Models in High-Dimensional Data},
  shorttitle = {Mgm},
  author = {Haslbeck, Jonas and Waldorp, Lourens J.},
  year = {2015},
  archivePrefix = {arXiv},
  eprint = {1510.06871},
  eprinttype = {arxiv},
  journal = {arXiv preprint arXiv:1510.06871}
}

@techreport{haslbeckModelingPsychopathologyData2019,
  title = {Modeling {{Psychopathology}}: {{From Data Models}} to {{Formal Theories}}},
  shorttitle = {Modeling {{Psychopathology}}},
  author = {Haslbeck, Jonas M B and Ryan, Ois{\'i}n and Robinaugh, Donald and Waldorp, Lourens and Borsboom, Denny},
  year = {2019},
  month = dec,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/jgm7f},
  abstract = {Over the past decade there has been a surge of empirical research investigating mental disorders as complex systems. In this paper, we investigate how to best make use of this growing body of empirical research and move the field toward its fundamental aims of explaining, predicting, and controlling psychopathology. We first review the contemporary philosophy of science literature on scientific theories and argue that fully achieving the aims of explanation, prediction, and control requires that we construct formal theories of mental disorders: theories expressed in the language of mathematics or a computational programming language. We then investigate three routes by which one can use empirical findings (i.e., data models) to construct formal theories: (a) using data models themselves as formal theories, (b) using data models to infer formal theories, and (c) comparing empirical data models to theory-implied data models in order to evaluate and refine an existing formal theory. We argue that the third approach is the most promising path forward and conclude by expanding on this approach, proposing a framework for theory construction that details how to best use empirical research to generate, develop, and test formal theories of mental disorders.},
  file = {/home/aleksandar/Dropbox/Zotero/Haslbeck et al/Haslbeck et al_2019_Modeling Psychopathology.pdf},
  type = {Preprint}
}

@article{haslbeckModeratedNetworkModels2019,
  title = {Moderated {{Network Models}}},
  author = {Haslbeck, Jonas M. B. and Borsboom, Denny and Waldorp, Lourens J.},
  year = {2019},
  month = nov,
  volume = {0},
  pages = {1--32},
  issn = {0027-3171},
  doi = {10.1080/00273171.2019.1677207},
  abstract = {Pairwise network models such as the Gaussian Graphical Model (GGM) are a powerful and intuitive way to analyze dependencies in multivariate data. A key assumption of the GGM is that each pairwise interaction is independent of the values of all other variables. However, in psychological research, this is often implausible. In this article, we extend the GGM by allowing each pairwise interaction between two variables to be moderated by (a subset of) all other variables in the model, and thereby introduce a Moderated Network Model (MNM). We show how to construct MNMs and propose an {$\mathscr{l}$}1-regularized nodewise regression approach to estimate them. We provide performance results in a simulation study and show that MNMs outperform the split-sample based methods Network Comparison Test (NCT) and Fused Graphical Lasso (FGL) in detecting moderation effects. Finally, we provide a fully reproducible tutorial on how to estimate MNMs with the R-package mgm and discuss possible issues with model misspecification.},
  journal = {Multivariate Behavioral Research},
  number = {0},
  pmid = {31782672}
}

@article{haslbeckModeratedNetworkModels2019a,
  title = {Moderated {{Network Models}}},
  author = {Haslbeck, Jonas M. B. and Borsboom, Denny and Waldorp, Lourens J.},
  year = {2019},
  month = nov,
  volume = {0},
  pages = {1--32},
  issn = {0027-3171},
  doi = {10.1080/00273171.2019.1677207},
  abstract = {Pairwise network models such as the Gaussian Graphical Model (GGM) are a powerful and intuitive way to analyze dependencies in multivariate data. A key assumption of the GGM is that each pairwise interaction is independent of the values of all other variables. However, in psychological research, this is often implausible. In this article, we extend the GGM by allowing each pairwise interaction between two variables to be moderated by (a subset of) all other variables in the model, and thereby introduce a Moderated Network Model (MNM). We show how to construct MNMs and propose an {$\mathscr{l}$}1-regularized nodewise regression approach to estimate them. We provide performance results in a simulation study and show that MNMs outperform the split-sample based methods Network Comparison Test (NCT) and Fused Graphical Lasso (FGL) in detecting moderation effects. Finally, we provide a fully reproducible tutorial on how to estimate MNMs with the R-package mgm and discuss possible issues with model misspecification.},
  file = {/home/aleksandar/Dropbox/Zotero/Haslbeck et al/Haslbeck et al_2019_Moderated Network Models2.pdf;/home/aleksandar/Zotero/storage/HSUXZA55/00273171.2019.html},
  journal = {Multivariate Behavioral Research},
  number = {0}
}

@techreport{haslbeckSumAllFears2020,
  title = {The {{Sum}} of {{All Fears}}: {{Comparing Networks Based}} on {{Symptom Sum}}-{{Scores}}},
  shorttitle = {The {{Sum}} of {{All Fears}}},
  author = {Haslbeck, Jonas M B and Ryan, Ois{\'i}n and Dablander, Fabian},
  year = {2020},
  month = may,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/3nxu9},
  abstract = {Researchers are often interested in comparing statistical network models estimated across groups that are defined by the sum-score of the modeled variables. A prominent example is an analysis that compares networks of individuals with and without a diagnosis of a certain disorder. Recently, several authors suggested that this practice may lead to invalid inferences by introducing Berkson's bias. In this paper, we show that whether bias is present or not depends on which research question one aims to answer. We review five possible research questions one may have in mind when they separately estimate network models in groups that are based on sum-scores. For each research question we provide an illustration with a bivariate example and discuss the exact nature of the bias, if present. We show that if one is indeed interested in the network models of the groups defined by the sum-score, no bias is introduced. However, if one is interested in the network model in the general population, differences across groups defined by a variable other than the sum-score, detecting population heterogeneity, or inferring direct causal relations, then bias will be introduced in most situations. Finally, we discuss for each research question how bias can be avoided.},
  file = {/home/aleksandar/Dropbox/Zotero/Haslbeck et al/Haslbeck et al_2020_The Sum of All Fears.pdf},
  language = {en},
  type = {Preprint}
}

@article{hassanLeveragingBigData,
  title = {Leveraging Big Data for Politics: Predicting General Election of {{Pakistan}} Using a Novel Rigged Model},
  author = {Hassan, Saeed-Ul},
  doi = {10.1007/s12652-019-01378-z},
  abstract = {Big data analytics have shown a tremendous impact on modern politics\textemdash among which the election forecasting modeling is notable that utilizes the large scale heterogeneous data sources, such as polls, surveys, and social media popularity to build prediction models by exploiting the power of machine learning and artificial intelligence. In this article, we present a novel machine learning-based election forecasting model that predicted Pakistan's 2018 General Election with the highest accuracy and won a nation-wide competition. To capture the winning probability of individual candidates in a constituency, the model taped an array of statistics from different data sources. Past election data was employed to mine demographic trends of each party across the districts, Twitter, and approval polls were exploited to snap current popularity levels. By employing Bayesian optimization, the model combined the probabilities from different sources by 'rigging' the results for ten seats as a win, where competition was expected to be one-sided. In contrast to the existing models that only predict the aggregate share of votes for different political parties at the national level, our model also effectively predicted the winning candidates for every national assembly seat. The seat share of political parties in the national assembly was predicted with 83\% accuracy. Of the total 270 constituencies, 230 winners were among the top two candidates, predicted by the proposed technique. Our model produces the most accurate results of the election compared to all the opinion polls and surveys held before the election 2018 in the country. We showed that big data tools and techniques coupled with the right mixture of machine learning and artificial intelligence models could have a significant impact on modern day political landscape.},
  journal = {Journal of Ambient Intelligence and Humanized Computing}
}

@article{hassanLeveragingBigDataa,
  title = {Leveraging Big Data for Politics: Predicting General Election of {{Pakistan}} Using a Novel Rigged Model},
  author = {Hassan, Saeed-Ul},
  doi = {10.1007/s12652-019-01378-z},
  abstract = {Big data analytics have shown a tremendous impact on modern politics\textemdash among which the election forecasting modeling is notable that utilizes the large scale heterogeneous data sources, such as polls, surveys, and social media popularity to build prediction models by exploiting the power of machine learning and artificial intelligence. In this article, we present a novel machine learning-based election forecasting model that predicted Pakistan's 2018 General Election with the highest accuracy and won a nation-wide competition. To capture the winning probability of individual candidates in a constituency, the model taped an array of statistics from different data sources. Past election data was employed to mine demographic trends of each party across the districts, Twitter, and approval polls were exploited to snap current popularity levels. By employing Bayesian optimization, the model combined the probabilities from different sources by 'rigging' the results for ten seats as a win, where competition was expected to be one-sided. In contrast to the existing models that only predict the aggregate share of votes for different political parties at the national level, our model also effectively predicted the winning candidates for every national assembly seat. The seat share of political parties in the national assembly was predicted with 83\% accuracy. Of the total 270 constituencies, 230 winners were among the top two candidates, predicted by the proposed technique. Our model produces the most accurate results of the election compared to all the opinion polls and surveys held before the election 2018 in the country. We showed that big data tools and techniques coupled with the right mixture of machine learning and artificial intelligence models could have a significant impact on modern day political landscape.},
  journal = {Journal of Ambient Intelligence and Humanized Computing}
}

@article{hassanLeveragingBigDatab,
  title = {Leveraging Big Data for Politics: Predicting General Election of {{Pakistan}} Using a Novel Rigged Model},
  author = {Hassan, Saeed-Ul},
  doi = {10.1007/s12652-019-01378-z},
  abstract = {Big data analytics have shown a tremendous impact on modern politics\textemdash among which the election forecasting modeling is notable that utilizes the large scale heterogeneous data sources, such as polls, surveys, and social media popularity to build prediction models by exploiting the power of machine learning and artificial intelligence. In this article, we present a novel machine learning-based election forecasting model that predicted Pakistan's 2018 General Election with the highest accuracy and won a nation-wide competition. To capture the winning probability of individual candidates in a constituency, the model taped an array of statistics from different data sources. Past election data was employed to mine demographic trends of each party across the districts, Twitter, and approval polls were exploited to snap current popularity levels. By employing Bayesian optimization, the model combined the probabilities from different sources by 'rigging' the results for ten seats as a win, where competition was expected to be one-sided. In contrast to the existing models that only predict the aggregate share of votes for different political parties at the national level, our model also effectively predicted the winning candidates for every national assembly seat. The seat share of political parties in the national assembly was predicted with 83\% accuracy. Of the total 270 constituencies, 230 winners were among the top two candidates, predicted by the proposed technique. Our model produces the most accurate results of the election compared to all the opinion polls and surveys held before the election 2018 in the country. We showed that big data tools and techniques coupled with the right mixture of machine learning and artificial intelligence models could have a significant impact on modern day political landscape.},
  journal = {Journal of Ambient Intelligence and Humanized Computing}
}

@article{hasselmanStudyingComplexAdaptive2020,
  title = {Studying {{Complex Adaptive Systems With Internal States}}: {{A Recurrence Network Approach}} to the {{Analysis}} of {{Multivariate Time}}-{{Series Data Representing Self}}-{{Reports}} of {{Human Experience}}},
  shorttitle = {Studying {{Complex Adaptive Systems With Internal States}}},
  author = {Hasselman, Fred and Bosman, Anna M. T.},
  year = {2020},
  volume = {6},
  publisher = {{Frontiers}},
  issn = {2297-4687},
  doi = {10.3389/fams.2020.00009},
  abstract = {We discuss formal, theoretical and practical issues with the statistical analysis of multivariate time series data that represent self-reports of human experience, often referred to as Ecological Momentary Assessment (EMA) data, or, Experience Sampling Method (ESM) data. We argue such time series likely violate the assumptions required for valid statistical inference, such as the memoryless-ness property (due to the presence of long-range temporal correlations) and ergodicity (due to non-stationarity and non-homogeneity of central moments). Moreover, we consider the common practice of interpreting outcomes of self-reports as if they were outcomes of classical physical measurements as extremely problematic and suggest to consider them as records of the temporal evolution of observables of a complex adaptive system with internal state dynamics. We propose to address some of these issues by analyzing the Change Profile instead of the observed time series, using recurrence-bases analyses, specifically, (multiplex) recurrence networks. We analyze a publicly available data set in which 4 participants rated 6 questions about their self-esteem and physical self, twice a day over a period of 512 days and introduce the concept of recurrence networks weighted by recurrence time. The edge weights represent either recurrence times or recurrence time frequencies and results show the scaling relation between vertex degree and vertex strength (the weighted variant of vertex degree), is associated to the scaling relation between frequency and spectral power based on the `raw' time series. In addition, we present a new spiral layout for recurrence networks that might be more appropriate when the detection of critical periods, regime shifts and tipping points requires insight in the temporal order in which those events occur. We conclude a complex systems approach to analyzing multivariate time series of self-reports of human experience is preferred over and above fitting statistical models like the Gaussian Graphical Model, or its derivatives.},
  file = {/home/aleksandar/Dropbox/Zotero/Hasselman_Bosman/Hasselman_Bosman_2020_Studying Complex Adaptive Systems With Internal States.pdf},
  journal = {Frontiers in Applied Mathematics and Statistics},
  keywords = {Change profile,complex adaptive systems,Ecological Momentary Assessment,Experience Sampling Method,internal state dynamics,Muliplex-Recurrence Networks,multivariate time series analysis,Physical self,Recurrence networks,self-esteem,Weighted recurrence networks},
  language = {English}
}

@book{hastieElementsStatisticalLearning2009,
  title = {The Elements of Statistical Learning: Data Mining, Inference, and Prediction},
  shorttitle = {The Elements of Statistical Learning},
  author = {Hastie, Trevor and Tibshirani, Robert and Friedman, J. H.},
  year = {2009},
  edition = {2nd ed},
  publisher = {{Springer}},
  address = {{New York, NY}},
  isbn = {978-0-387-84857-0 978-0-387-84858-7},
  lccn = {Q325.5 .H39 2009},
  series = {Springer Series in Statistics}
}

@article{hatemiGiveMeAttitudes2016,
  title = {Give Me Attitudes},
  author = {Hatemi, Peter K. and McDermott, Rose},
  year = {2016},
  volume = {19},
  pages = {331--350},
  publisher = {{Annual Reviews}},
  journal = {Annual Review of Political Science}
}

@article{haughton2011ParliamentaryElections2013,
  title = {The 2011 Parliamentary Elections in {{Slovenia}}},
  author = {Haughton, Tim and Kra{\v s}ovec, Alenka},
  year = {2013},
  month = mar,
  volume = {32},
  pages = {201--204},
  issn = {02613794},
  doi = {10.1016/j.electstud.2012.12.004},
  journal = {Electoral Studies},
  language = {en},
  number = {1}
}

@article{haughtonHalfFullAlso2011,
  title = {Half Full but Also Half Empty: {{Conditionality}}, Compliance and the Quality of Democracy in {{Central}} and {{Eastern Europe}}},
  shorttitle = {Half {{Full}} but Also {{Half Empty}}},
  author = {Haughton, Tim},
  year = {2011},
  month = sep,
  volume = {9},
  pages = {323--333},
  issn = {1478-9299, 1478-9302},
  doi = {10.1111/j.1478-9302.2010.00220.x},
  journal = {Political Studies Review},
  language = {en},
  number = {3}
}

@article{haughtonHurricaneSeasonSystems2015,
  title = {Hurricane Season: {{Systems}} of Instability in {{Central}} and {{East European}} Party Politics},
  shorttitle = {Hurricane {{Season}}},
  author = {Haughton, Tim and {Deegan-Krause}, Kevin},
  year = {2015},
  month = feb,
  volume = {29},
  pages = {61--80},
  issn = {0888-3254, 1533-8371},
  doi = {10.1177/0888325414566072},
  journal = {East European Politics and Societies},
  language = {en},
  number = {1}
}

@article{haughtonWhenDoesEU2007,
  title = {When Does the {{EU Make}} a {{Difference}}? {{Conditionality}} and the Accession Process in {{Central}} and {{Eastern Europe}}},
  shorttitle = {When Does the {{EU Make}} a {{Difference}}?},
  author = {Haughton, Tim},
  year = {2007},
  month = may,
  volume = {5},
  pages = {233--246},
  issn = {1478-9299, 1478-9302},
  doi = {10.1111/j.1478-9299.2007.00130.x},
  journal = {Political Studies Review},
  language = {en},
  number = {2}
}

@article{hawkinsEmergenceSocialNorms,
  title = {The {{Emergence}} of {{Social Norms}} and {{Conventions}}},
  author = {Hawkins, Robert X.d. and Goodman, Noah D. and Goldstone, Robert L.},
  doi = {S1364661318302626},
  abstract = {{$<$}p{$>$}Publication date: Available online 3 December 2018{$<$}/p{$><$}p{$>$}\textbf{Source:} Trends in Cognitive Sciences{$<$}/p{$><$}p{$>$}Author(s): Robert X.D. Hawkins, Noah D. Goodman, Robert L. Goldstone{$<$}/p{$><$}div{$><$}p{$>$}The utility of our actions frequently depends upon the beliefs and behavior of other agents. Thankfully, through experience, we learn norms and conventions that provide stable expectations for navigating our social world. Here, we review several distinct influences on their content and distribution. At the level of individuals locally interacting in dyads, success depends on rapidly adapting pre-existing norms to the local context. Hence, norms are shaped by complex cognitive processes involved in learning and social reasoning. At the population level, norms are influenced by intergenerational transmission and the structure of the social network. As human social connectivity continues to increase, understanding and predicting how these levels and time scales interact to produce new norms will be crucial for improving communities.{$<$}/p{$><$}/div{$>$}},
  journal = {Trends in Cognitive Sciences}
}

@techreport{heckReviewApplicationsBayes2020,
  title = {A {{Review}} of {{Applications}} of the {{Bayes Factor}} in {{Psychological Research}}},
  author = {Heck, Daniel W. and Boehm, Udo and {B{\"o}ing-Messing}, Florian and B{\"u}rkner, Paul - Christian and Derks, Koen and Dienes, Zoltan and Fu, Qianrao and Gu, Xin and Karimova, Diana and Kiers, Henk and Klugkist, Irene and Kuiper, Rebecca M. and Lee, Michael David and Leenders, Roger and Leplaa, Hidde Jelmer and Linde, Maximilian and Ly, Alexander and {Meijerink-Bosman}, Marlyne and Moerbeek, Mirjam and Mulder, Joris and Palfi, Bence and Sch{\"o}nbrodt, Felix D. and Tendeiro, Jorge and {van den Bergh}, Don and Van Lissa, Caspar J. and {van Ravenzwaaij}, Don and {vanpaemel}, wolf and Wagenmakers, Eric-Jan and Williams, Donald Ray and {Zondervan-Zwijnenburg}, Marielle and Hoijtink, Herbert},
  year = {2020},
  month = oct,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/cu43g},
  abstract = {The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for hypothesis evaluation and model selection. The present review highlights the potential of the Bayes factor in psychological research. We discuss six types of applications: Bayesian evaluation of point null, interval, and informative hypotheses, Bayesian evidence synthesis, Bayesian variable selection and model averaging, and Bayesian evaluation of cognitive models. We elaborate what each application entails, give illustrative examples, and provide an overview of key references and software with links to other applications. The paper is concluded with a discussion of the opportunities and pitfalls of Bayes factor applications and a sketch of corresponding future research lines.},
  file = {/home/aleksandar/Zotero/storage/7RZXZI2L/Heck et al. - 2020 - A Review of Applications of the Bayes Factor in Ps.pdf},
  language = {en},
  type = {Preprint}
}

@techreport{heerenBridgingMaladaptiveSocial2020,
  title = {Bridging {{Maladaptive Social Self}}-{{Beliefs}} and {{Social Anxiety}}: {{A Network Perspective}}},
  shorttitle = {Bridging {{Maladaptive Social Self}}-{{Beliefs}} and {{Social Anxiety}}},
  author = {Heeren, Alexandre and Bernstein, Emily and McNally, Richard J.},
  year = {2020},
  month = mar,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/x6gsm},
  abstract = {The Clark and Wells (1995) model of social anxiety disorder postulates that three types of maladaptive social self-beliefs (high standard, conditional, and unconditional beliefs) play a crucial role in the development of fear and avoidance of social-evaluative situations\textemdash i.e., the hallmark symptoms of social anxiety disorder. In this project, we aimed to clarify the associations between the three types of maladaptive social self-beliefs and fear and avoidance of social-evaluative situations in a nonclinical community sample (n = 389) to illuminate pathways at play in the development of social anxiety. We used network analysis to estimate functional relations among aspects of maladaptive self-beliefs, fear, and avoidance of social-evaluative situations. We computed two different network models, a graphical Gaussian model (GGM) and a directed acyclic graph (DAG). Each model estimates edges and the importance of nodes in different ways. Both GGM and DAG pointed to fear and conditional beliefs as especially potent pathways bridging maladaptive social self-beliefs and social anxiety in our nonclinical sample. Altogether, this novel network approach offers viable data-driven heuristics in the identification of pivotal theory-driven mechanisms of the instigation of interactions between maladaptive social self-beliefs and social anxiety.},
  file = {/home/aleksandar/Dropbox/Zotero/Heeren et al/Heeren et al_2020_Bridging Maladaptive Social Self-Beliefs and Social Anxiety.pdf},
  language = {en},
  type = {Preprint}
}

@article{hegselmannOpinionDynamicsBounded2002,
  title = {Opinion Dynamics and Bounded Confidence: Models, Analysis and Simulation},
  author = {Hegselmann, Rainer and Krause, Ulrich},
  year = {2002},
  abstract = {When does opinion formation within an interacting group lead to consensus, polarization or fragmentation? The article investigates various models for the dynamics of continuous opinions by analytical methods as well as by computer simulations. Section 2 develops within a unified framework the classical model of consensus formation, the variant of this model due to Friedkin and Johnsen, a time-dependent version and a nonlinear version with bounded confidence of the agents. Section 3 presents for all these models major analytical results. Section 4 gives an extensive exploration of the nonlinear model with bounded confidence by a series of computer simulations. An appendix supplies needed mathematical definitions, tools, and theorems.}
}

@misc{hegselmannOpinionDynamicsBounded2002b,
  title = {Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation},
  author = {Hegselmann, Rainer; Krause},
  year = {2002},
  month = jun,
  publisher = {{JASSS}},
  abstract = {When does opinion formation within an interacting group lead to consensus, polarization or fragmentation? The article investigates various models for the dynamics of continuous opinions by analytical methods as well as by computer simulations. Section 2 develops within a unified framework the classical model of consensus formation, the variant of this model due to Friedkin and Johnsen, a time-dependent version and a nonlinear version with bounded confidence of the agents. Section 3 presents for all these models major analytical results. Section 4 gives an extensive exploration of the nonlinear model with bounded confidence by a series of computer simulations. An appendix supplies needed mathematical definitions, tools, and theorems.},
  copyright = {JASSS@soc.surrey.ac.uk},
  file = {/home/aleksandar/Zotero/storage/HKIEV9IH/2.html},
  howpublished = {http://jasss.soc.surrey.ac.uk/5/3/2.html},
  language = {en},
  type = {Text.{{Article}}}
}

@article{hegselmannOpinionDynamicsBounded2002c,
  title = {Opinion Dynamics and Bounded Confidence: Models, Analysis and Simulation},
  shorttitle = {Opinion Dynamics and Bounded Confidence},
  author = {Hegselmann, R. and Krause, U.},
  year = {2002},
  abstract = {When does opinion formation within an interacting group lead to consensus, polarization or fragmentation? The article investigates various models for the dynamics of continuous opinions by analytical methods as well as by computer simulations. Section 2 develops within a unified framework the classical model of consensus formation, the variant of this model due to Friedkin and Johnsen, a time-dependent version and a nonlinear version with bounded confidence of the agents. Section 3 presents for all these models major analytical results. Section 4 gives an extensive exploration of the nonlinear model with bounded confidence by a series of computer simulations. An appendix supplies needed mathematical definitions, tools, and theorems.},
  file = {/home/aleksandar/Documents/Zotero/Hegselmann_Krause/Hegselmann_Krause_2002_Opinion dynamics and bounded confidence.pdf},
  journal = {J. Artif. Soc. Soc. Simul.}
}

@article{heinischDisentanglingHowPopulism2020,
  title = {Disentangling {{How Populism}} and {{Radical Host Ideologies Shape Citizens}}' {{Conceptions}} of {{Democratic Decision}}-{{Making}}},
  author = {Heinisch, Reinhard and Wegscheider, Carsten},
  year = {2020},
  month = jul,
  volume = {8},
  pages = {32},
  issn = {2183-2463},
  doi = {10.17645/pag.v8i3.2915},
  abstract = {In this article, we aim to disentangle the extent to which citizens' conceptions of democratic decision-making are shaped by populist attitudes or rather by radical left and right host ideologies. Following recent work by Landwehr and Steiner (2017), we distinguish four modes of decision-making embedded in different conceptions of democracy: trusteeship democracy, anti-pluralism, deliberative proceduralism, and majoritarianism. Drawing on data from Austria and Germany, we show that populism and radical host ideologies tap into different dimensions of democracy. While populism is primarily directed against representative forms of democratic decision-making, preferences for deliberative procedures and majority decisions appear entirely shaped by radical left and right host ideologies. Populism thus views decision-making based on the general will of the people as the only legitimate democratic procedure, whereas radical left and right host ideologies aim at involving the relevant group(s) of citizens. Further analyses of the interactions between populist attitudes and radical host ideologies confirm that the effects of populism remain robust and thus independent of the specific manifestations of radical host ideologies. These findings help to disentangle the causes of democratic discontent and to develop possible responses through democratic reforms that specifically and separately aim to mitigate populism and radical host ideologies.},
  file = {/home/aleksandar/Zotero/storage/QHNSSQ2C/Heinisch and Wegscheider - 2020 - Disentangling How Populism and Radical Host Ideolo.pdf},
  journal = {Politics and Governance},
  language = {en},
  number = {3}
}

@article{heinoCARMACriticalAppraisal2019,
  title = {{{CARMA}} - {{Critical Appraisal}} of {{Research Methods}} and {{Analysis}}},
  author = {Heino, Matti T. J.},
  year = {2019},
  month = oct,
  doi = {10.17605/OSF.IO/B3T5G},
  abstract = {Main course page at https://mattiheino.com/carma/ This is a syllabus and slides for a course in critical data analysis and decision making under uncertainty. Course description: Research claims in news, science, and business can mislead people, either purposefully or inadvertently. How and why does this happen, and what mistakes, misconceptions and pitfalls should one avoid when evaluating data? This course will help participants assess data-based statements, and offer some tools to avoid getting fooled by them. It is meant for students who aspire to future careers, which involve undertaking, interpreting or commissioning research. This could include science in academic or other institutions, consumer/marketing research in business settings, evidence-based decision making as policy makers or journalists, among others. The course does not require specialising in quantitative methods, although basic familiarity can be useful. Note: a lot of slides contain ``animation'' that doesn't work if you watch the presentation on a scrolling mode instead of having one full slide on the screen at a time. So, download or zoom in.      Hosted on the Open Science Framework},
  language = {en}
}

@techreport{heinoStudyingBehaviourChange2020,
  title = {Studying Behaviour Change Mechanisms under Complexity},
  author = {Heino, Matti Toivo Juhani and Knittle, Keegan Phillip and Noone, Chris and Hasselman, Fred and Hankonen, Nelli},
  year = {2020},
  month = apr,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/fxgw4},
  abstract = {Understanding the mechanisms underlying the effects of behaviour change interventions is vital for accumulating valid scientific evidence, and useful to informing practice and policymaking across multiple domains. Traditional approaches to such evaluations have applied study designs and statistical models, which implicitly assume that change is linear, constant and caused by independent influences on behaviour (such as behaviour change techniques). This article illustrates limitations of these standard tools, and considers the benefits of adopting a complex adaptive systems approach to behaviour change research. It 1) outlines the complexity of behaviours and behaviour change interventions, 2) introduces readers to some key features of complex systems and how these relate to human behaviour change, and 3) provides suggestions for how researchers can better account for implications of complexity in analysing change mechanisms. We focus on three common features of complex systems (i.e. interconnectedness, non-ergodicity and non-linearity), and introduce Recurrence Analysis, a method for nonlinear time series analysis which is able to quantify complex dynamics. The supplemental website (https://git.io/Jffrm) provides exemplifying code and data for practical analysis applications. The complex adaptive systems approach can complement traditional investigations by opening up novel avenues for understanding and theorising about the dynamics of behaviour change.},
  file = {/home/aleksandar/Zotero/storage/6Q73L2BI/Heino et al. - 2020 - Studying behaviour change mechanisms under complex.pdf},
  language = {en},
  type = {Preprint}
}

@article{heitzigEfficientDemocraticDecisions2020,
  title = {Efficient Democratic Decisions via Nondeterministic Proportional Consensus},
  author = {Heitzig, Jobst and Simmons, Forest W.},
  year = {2020},
  month = jun,
  abstract = {Are there voting methods which (i) give everyone, including minorities, an equal share of effective power even if voters act strategically, (ii) promote consensus rather than polarization and inequality, and (iii) do not favour the status quo or rely too much on chance? We show the answer is yes by describing two nondeterministic voting methods, one based on automatic bargaining over lotteries, the other on conditional commitments to approve compromise options. Our theoretical analysis and agent-based simulation experiments suggest that with these, majorities cannot consistently suppress minorities as with deterministic methods, proponents of the status quo cannot block decisions as in consensus-based approaches, the resulting aggregate welfare is comparable to existing methods, and average randomness is lower than for other nondeterministic methods.},
  archivePrefix = {arXiv},
  eprint = {2006.06548},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Heitzig_Simmons/Heitzig_Simmons_2020_Efficient democratic decisions via nondeterministic proportional consensus.pdf;/home/aleksandar/Zotero/storage/5LI7MTAY/2006.html},
  journal = {arXiv:2006.06548 [cs, econ, q-fin]},
  primaryClass = {cs, econ, q-fin}
}

@article{helbingMathematicalModelBehavior1994,
  title = {A Mathematical Model for the Behavior of Individuals in a Social Field},
  author = {Helbing, Dirk},
  year = {1994},
  month = aug,
  volume = {19},
  pages = {189--219},
  publisher = {{Routledge}},
  issn = {0022-250X},
  doi = {10.1080/0022250X.1994.9990143},
  abstract = {Related to an idea of Lewin, a mathematical model for behavioral changes under the influence of a social field is developed. The social field reflects public opinion, social norms and trends. It is not only given by external factors (the environment) but also by the interactions of individuals. Two important kinds of interaction processes are distinguished: Imitative and avoidance processes. Variations of individual behavior are taken into account by ``diffusion coefficients.''},
  annotation = {\_eprint: https://doi.org/10.1080/0022250X.1994.9990143},
  file = {/home/aleksandar/Documents/Zotero/Helbing/Helbing_1994_A mathematical model for the behavior of individuals in a social field.pdf;/home/aleksandar/Zotero/storage/UXPRSMC4/0022250X.1994.html},
  journal = {The Journal of Mathematical Sociology},
  number = {3}
}

@book{helbingQuantitativeSociodynamicsStochastic2010,
  title = {Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes},
  shorttitle = {Quantitative Sociodynamics},
  author = {Helbing, Dirk},
  year = {2010},
  edition = {2nd ed},
  publisher = {{Springer}},
  address = {{Berlin ; New York}},
  annotation = {OCLC: ocn619662347},
  isbn = {978-3-642-11545-5},
  language = {eng},
  lccn = {HM1111 .H457 2010}
}

@article{hellerRegionalPartiesNational2002,
  title = {Regional Parties and National Politics in {{Europe}}: {{Spain}}'s {{Estado}} de Las Autonom\'ias, 1993 to 2000},
  shorttitle = {Regional {{Parties}} and {{National Politics}} in {{Europe}}},
  author = {Heller, William B.},
  year = {2002},
  month = aug,
  volume = {35},
  pages = {657--685},
  issn = {0010-4140, 1552-3829},
  doi = {10.1177/0010414002035006002},
  journal = {Comparative Political Studies},
  language = {en},
  number = {6}
}

@article{helskeAreYouSure2020,
  title = {Are {{You Sure You}}'re {{Sure}}? -- {{Effects}} of {{Visual Representation}} on the {{Cliff Effect}} in {{Statistical Inference}}},
  shorttitle = {Are {{You Sure You}}'re {{Sure}}?},
  author = {Helske, Jouni and Helske, Satu and Cooper, Matthew and Ynnerman, Anders and Besan{\c c}on, Lonni},
  year = {2020},
  month = feb,
  abstract = {Common reporting styles of statistical results, such as confidence intervals (CI), are prone to dichotomous interpretations especially on null hypothesis testing frameworks, for example by claiming significant differences between drug treatment and placebo groups due to the non-overlapping CIs of the mean effects, while disregarding the magnitudes and absolute difference in the effect sizes. Techniques relying on the visual estimation of the strength of evidence have been recommended to limit such dichotomous interpretations but their effectiveness has been challenged. We ran two experiments to compare several representation alternatives of confidence intervals, and used Bayesian multilevel models to estimate the effects of the representation styles on differences in subjective confidence of the results and preferences in visualization styles. Our results suggest that adding visual information to classic CI representation can decrease the sudden drop around p-value 0.05 compared to classic CIs and textual representation of CI with p-values. All data analysis and scripts are available https://github.com/helske/statvis.},
  archivePrefix = {arXiv},
  eprint = {2002.07671},
  eprinttype = {arxiv},
  journal = {arXiv:2002.07671 [cs, stat]},
  language = {en},
  primaryClass = {cs, stat}
}

@article{heModularitybasedRepresentationLearning2020,
  title = {Modularity-Based Representation Learning for Networks},
  author = {He, Jialin and Li, Dongmei and Liu, Yuexi},
  year = {2020},
  issn = {1674-1056},
  doi = {10.1088/1674-1056/abbbec},
  abstract = {Network embedding aims at learning low-dimensional representation of vertexes in a network and effectively preserving network structures. These representations can be used as features for many complex tasks on networks such as community detection and multi-label classification. Some classic methods based on the Skip-gram model have been proposed to learn the representation of vertexes. However, these methods don't consider the global structure (i.e.,community structure) while sampling vertex sequences in network. To solve this problem, we suggest a novel sampling method which takes community information into consideration. It first samples dense vertex sequences by taking advantage of modularity function and then learns vertex representation by using the Skip-gram model. Experimental results on the tasks of community detection and multi-label classification show that our method outperforms three state-of-the-art methods on learning the vertex representations in networks.},
  journal = {Chinese Physics B},
  language = {en}
}

@techreport{henryControlPsychologicalNetworks2020,
  title = {On the Control of Psychological Networks},
  author = {Henry, Teague R and Robinaugh, Donald and Fried, Eiko I},
  year = {2020},
  month = apr,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/7vpz2},
  abstract = {The combination of network theory and network psychometric methods have opened up a variety of new ways to conceptualize and study psychological disorders. The idea of psychological disorders as dynamic systems has sparked interest in developing interventions based on results of network analytic tools. However, estimating a network model is not sufficient for determining which symptoms might be most effective to intervene upon, and is not sufficient for determining the potential efficacy of any given intervention. In this paper, we attempt to remedy this gap by introducing fundamental concepts in control theory to both methodologists and applied psychologists. We show how two controllability measures, average and modal controllability, can be used to select the best set of intervention targets. We provide a statistical testing procedure for determining if the dynamical systems of different people have the same optimal intervention targets. Following that, we show how intervention scientists can probe the effects of both theoretical and empirical interventions on networks derived from real data; demonstrate how simulations can be used to account for intervention cost and the desire to reduce specific symptoms; introduce a metric for evaluating intervention efficacy, the intervention efficacy ratio (IER); and showcase how between subject heterogeneity in intervention response can be evaluated. Every step is illustrated using rich clinical EMA data from a sample of subjects undergoing treatment for complicated grief, with a focus on the outcome `Suicidal Ideation'. All methods are implemented in an open-source R package ''netcontrol'', and complete code for replicating the analyses in this manuscript is available at https://osf.io/f268v/.},
  file = {/home/aleksandar/Dropbox/Zotero/Henry et al/Henry et al_2020_On the control of psychological networks.pdf},
  language = {en},
  type = {Preprint}
}

@article{herekHeterosexualsAttitudesBisexual2002,
  title = {Heterosexuals' Attitudes toward Bisexual Men and Women in the {{United States}}},
  author = {Herek, Gregory M.},
  year = {2002},
  month = nov,
  volume = {39},
  pages = {264--274},
  issn = {0022-4499, 1559-8519},
  doi = {10.1080/00224490209552150},
  journal = {Journal of Sex Research},
  language = {en},
  number = {4}
}

@article{hernandezAffectivePolarizationSalience2020,
  title = {Affective Polarization and the Salience of Elections},
  author = {Hern{\'a}ndez, Enrique and Anduiza, Eva and Rico, Guillem},
  year = {2020},
  month = aug,
  pages = {102203},
  issn = {0261-3794},
  doi = {10.1016/j.electstud.2020.102203},
  abstract = {In this article we analyze the effects of election salience on affective polarization. Campaigns and elections epitomize the moment of maximum political conflict, information spread, mobilization, and activation of political identities and predispositions. We therefore expect that affective polarization will be higher just after an election has taken place. By the same token, as elections lose salience, affective polarization will diminish. We analyze this question using CSES data from 99 post-electoral surveys conducted in 42 countries between 1996 and 2016. Our identification strategy exploits variation in the timing of survey interviews with respect to the election day as an exogenous measure of election salience. The empirical findings indicate that as elections lose salience affective polarization declines. The article further contributes to the debate on the origins of affective polarization by exploring two mechanisms that may account for this relationship: changes in ideological polarization and in the intensity of party identification. Both are relevant mediators, with ideological polarization seemingly playing a more important role.},
  file = {/home/aleksandar/Zotero/storage/XSUKLGDC/S026137942030086X.html},
  journal = {Electoral Studies},
  language = {en}
}

@misc{HeterosexualsAttitudesBisexual,
  title = {Heterosexuals' Attitudes toward Bisexual Men and Women in the {{United States}}: {{The Journal}} of {{Sex Research}}: {{Vol}} 39, {{No}} 4},
  file = {/home/aleksandar/Zotero/storage/RD2GWLQU/00224490209552150.html},
  howpublished = {https://www.tandfonline.com/doi/abs/10.1080/00224490209552150}
}

@misc{heynsRetorquereZoterobetterbibtex2019,
  title = {Retorquere/Zotero-Better-Bibtex},
  author = {Heyns, Emiliano},
  year = {2019},
  month = dec,
  abstract = {Make Zotero effective for us LaTeX holdouts. Contribute to retorquere/zotero-better-bibtex development by creating an account on GitHub.},
  copyright = {MIT}
}

@book{heywoodPolitika2004,
  title = {{Politika}},
  author = {Heywood, Andrew},
  year = {2004},
  publisher = {{Clio}},
  address = {{Beograd}},
  annotation = {OCLC: 456689393},
  isbn = {978-86-7102-101-2},
  language = {No Linguistic Content}
}

@book{hibbingStealthDemocracyAmericans2002,
  title = {Stealth Democracy: {{Americans}}' Beliefs about How Government Should Work},
  shorttitle = {Stealth Democracy},
  author = {Hibbing, John R. and {Theiss-Morse}, Elizabeth},
  year = {2002},
  publisher = {{Cambridge University Press}},
  address = {{Cambridge ; New York}},
  isbn = {978-0-521-81138-5 978-0-521-00986-7},
  lccn = {JK1764 H53 2002},
  series = {Cambridge Studies in Political Psychology and Public Opinion}
}

@inproceedings{hickenProvinceParliamentParty2003,
  title = {From Province to Parliament: {{Party}} Aggregation in Developing Democracies},
  booktitle = {Annual {{Meeting}} of the {{American Political Science Association}}},
  author = {Hicken, Allen},
  year = {2003},
  address = {{Chicago}}
}

@article{hicksonLocalistTurnBritish2013,
  title = {The Localist Turn in {{British}} Politics and Its Critics},
  author = {Hickson, Kevin},
  year = {2013},
  month = jul,
  volume = {34},
  pages = {408--421},
  issn = {0144-2872, 1470-1006},
  doi = {10.1080/01442872.2013.822700},
  journal = {Policy Studies},
  language = {en},
  number = {4}
}

@book{hijmansRasterGeographicAnalysis2012,
  title = {Raster: Geographic Analysis and Modeling with Raster Data},
  author = {Hijmans, Robert J. and {van Etten}, J.},
  year = {2012}
}

@article{hillenConsequencesSupplyGaps2019,
  title = {The Consequences of Supply Gaps in Two-dimensional Policy Spaces for Voter Turnout and Political Support: {{The}} Case of Economically Left-wing and Culturally Right-wing Citizens in {{Western Europe}}},
  shorttitle = {The Consequences of Supply Gaps in Two-dimensional Policy Spaces for Voter Turnout and Political Support},
  author = {Hillen, Sven and Steiner, Nils D.},
  year = {2019},
  month = jul,
  pages = {1475-6765.12348},
  issn = {0304-4130, 1475-6765},
  doi = {10.1111/1475-6765.12348},
  journal = {European Journal of Political Research},
  language = {en}
}

@article{hindmarchEffectsRepeatedNocturnal1979,
  title = {The Effects of Repeated Nocturnal Doses of Clobazam, Dipotassium Chlorazepate and Placebo on Subjective Ratings of Sleep and Early Morning Behaviour and Objective Measures of Arousal, Psychomotor Performance and Anxiety},
  author = {Hindmarch, I. and Parrott, A. C.},
  year = {1979},
  month = oct,
  volume = {8},
  pages = {325--329},
  issn = {0306-5251},
  abstract = {1. Repeated nocturnal doses of 30 mg clobazam and dipotassium chlorazepate 15 mg showed no significant effects compared to matching placebo on tests of psychomotor performance and serial subtraction of numbers given in the morning and afternoon of the day following treatment. 2. Both active preparations improved the perceived quality of sleep compared to placebo. 3. A reduction in rated anxiety scores was found with clobazam on the afternoon of the day following treatment together with an elevation of critical flicker fusion thresholds. 4. Dipotassium chlorazepate was found to impair performance of a low level conceptual task but not to influence performance at a more difficult level.},
  journal = {British Journal of Clinical Pharmacology},
  language = {eng},
  number = {4},
  pmcid = {PMC1429832},
  pmid = {41548}
}

@article{hinichLeftRightCleavage2013,
  title = {Beyond the Left\textendash Right Cleavage: {{Exploring American}} Political Choice Space},
  shorttitle = {Beyond the Left\textendash Right Cleavage},
  author = {Hinich, Melvin and Liu, Xinsheng and Vedlitz, Arnold and Lindsey, Charles},
  year = {2013},
  month = jan,
  volume = {25},
  pages = {75--104},
  issn = {0951-6298, 1460-3667},
  doi = {10.1177/0951629812453215},
  journal = {Journal of Theoretical Politics},
  language = {en},
  number = {1}
}

@article{hirschmanExitVoiceLoyalty1974,
  title = {"{{Exit}}, Voice, and Loyalty": {{Further}} Reflections and a Survey of Recent Contributions},
  shorttitle = {"{{Exit}}, Voice, and Loyalty"},
  author = {Hirschman, A. O.},
  year = {1974},
  month = feb,
  volume = {13},
  pages = {7--26},
  issn = {0539-0184},
  doi = {10.1177/053901847401300101},
  journal = {Social Science Information},
  language = {en},
  number = {1}
}

@book{hirschmanExitVoiceLoyalty2004,
  title = {Exit, Voice, and Loyalty: {{Responses}} to Decline in Firms, Organizations, and States},
  shorttitle = {Exit, Voice, and Loyalty},
  author = {Hirschman, Albert O.},
  year = {2004},
  publisher = {{Harvard University Press}},
  address = {{Cambridge}},
  isbn = {978-0-674-27660-4},
  lccn = {HM786 .H57 2004}
}

@article{hitlinEvolutionMoralProgress2019,
  title = {The {{Evolution}} of {{Moral Progress Meets Social Science}}: {{Suggestions}} to {{Augment}} an {{Ambitious Argument}}},
  shorttitle = {The {{Evolution}} of {{Moral Progress Meets Social Science}}},
  author = {Hitlin, Steven},
  year = {2019},
  volume = {41},
  pages = {271--286},
  issn = {2365-9858},
  doi = {10.1515/auk-2019-0017},
  abstract = {Buchanan and Powell's ambitious work offers a wide-ranging philosophical treatment about one of social science's active inquries: human morality and how it evolved. This review humbly offers a brief engagement with the social science of morality, both to support the book's conclusions and occasionally to build productive interdisciplinary bridges toward an even more fuller treatment of the topic.},
  journal = {Analyse \& Kritik},
  number = {2}
}

@article{hoangDatadrivenInferenceHidden,
  ids = {hoangDatadrivenInferenceHiddenb,hoangDatadrivenInferenceHiddenc},
  title = {Data-Driven Inference of Hidden Nodes in Networks.},
  author = {Hoang, Danh-tai and Jo, Junghyo and Periwal, Vipul},
  doi = {arXiv:1901.04122v1},
  abstract = {{$<$}p{$>$}The explosion of activity in finding interactions in complex systems is driven by availability of copious observations of complex natural systems. However, such systems, e.g. the human brain, are rarely completely observable. Interaction network inference must then contend with hidden variables affecting the behavior of the observed parts of the system. We present a novel data-driven approach for model inference with hidden variables. From configurations of observed variables, we identify the observed-to-observed, hidden-to-observed, observed-to-hidden, and hidden-to-hidden interactions, the configurations of hidden variables, and the number of hidden variables. We demonstrate the performance of our method by simulating a kinetic Ising model, and show that our method outperforms existing methods. Turning to real data, we infer the hidden nodes in a neuronal network in the salamander retina and a stock market network. We show that predictive modeling with hidden variables is significantly more accurate than that without hidden variables. Finally, an important hidden variable problem is to find the number of clusters in a dataset. We apply our method to classify MNIST handwritten digits. We find that there are about 60 clusters which are roughly equally distributed amongst the digits. {$<$}/p{$>$}},
  journal = {arXiv Physics General}
}

@article{hoffmanModelingPartitionsIndividuals2020,
  title = {Modeling Partitions of Individuals},
  author = {Hoffman, Marion and Block, Per and Snijders, Tom A. B.},
  year = {2020},
  month = sep,
  abstract = {Despite the central role of self-assembled groups in animal and human societies, statistical tools to explain their composition are limited. We introduce a statistical framework for cross-sectional observations of groups with exclusive membership to illuminate the social and organizational mechanisms that bring people together. Drawing from stochastic models for networks and partitions, the proposed framework introduces an exponential family of distributions for partitions. We derive its main mathematical properties and suggest strategies to specify and estimate such models. A case study on hackathon events applies the developed framework to the study of mechanisms underlying the formation of self-assembled project teams.},
  archivePrefix = {arXiv},
  eprint = {2009.13974},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Hoffman et al/Hoffman et al_2020_Modeling partitions of individuals.pdf;/home/aleksandar/Zotero/storage/VQHIYUP9/2009.html},
  journal = {arXiv:2009.13974 [stat]},
  primaryClass = {stat}
}

@article{hoffmannReligiousnessSocialNetworks2014,
  title = {Religiousness, {{Social Networks}}, {{Moral Schemas}}, and {{Marijuana Use}}: {{A Dynamic Dual}}-{{Process Model}} of {{Culture}} and {{Behavior}}},
  shorttitle = {Religiousness, {{Social Networks}}, {{Moral Schemas}}, and {{Marijuana Use}}},
  author = {Hoffmann, John P.},
  year = {2014},
  month = sep,
  volume = {93},
  pages = {181--208},
  issn = {1534-7605, 0037-7732},
  doi = {10.1093/sf/sou053},
  journal = {Social Forces},
  language = {en},
  number = {1}
}

@article{hofmannMoralPunishmentEveryday2018,
  title = {Moral {{Punishment}} in {{Everyday Life}}},
  author = {Hofmann, Wilhelm and Brandt, Mark J. and Wisneski, Daniel C. and Rockenbach, Bettina and Skitka, Linda J.},
  year = {2018},
  month = dec,
  volume = {44},
  pages = {1697--1711},
  issn = {0146-1672},
  doi = {10.1177/0146167218775075},
  abstract = {The present research investigated event-related, contextual, demographic, and dispositional predictors of the desire to punish perpetrators of immoral deeds in daily life, as well as connections among the desire to punish, moral emotions, and momentary well-being. The desire to punish was reliably predicted by linear gradients of social closeness to both the perpetrator (negative relationship) and the victim (positive relationship). Older rather than younger adults, conservatives rather than people with other political orientations, and individuals high rather than low in moral identity desired to punish perpetrators more harshly. The desire to punish was related to state anger, disgust, and embarrassment, and these were linked to lower momentary well-being. However, the negative effect of these emotions on well-being was partially compensated by a positive indirect pathway via heightened feelings of moral self-worth. Implications of the present field data for moral punishment research and the connection between morality and well-being are discussed.},
  journal = {Personality and Social Psychology Bulletin},
  language = {en},
  number = {12}
}

@article{hohneNewInsightsCognitive2018,
  title = {New {{Insights}} on the {{Cognitive Processing}} of {{Agree}}/{{Disagree}} and {{Item}}-{{Specific Questions}}},
  author = {H{\"o}hne, Jan Karem and Lenzner, Timo},
  year = {2018},
  month = sep,
  volume = {6},
  pages = {401--417},
  issn = {2325-0984},
  doi = {10.1093/jssam/smx028},
  abstract = {Abstract.  In empirical social research, using questions with an agreement scale, also known as agree/disagree (A/D) questions, is a popular technique for measu},
  file = {/home/aleksandar/Zotero/storage/CI44E2QP/4320221.html},
  journal = {Journal of Survey Statistics and Methodology},
  language = {en},
  number = {3}
}

@article{hollenbachMultipleImputationUsing2018,
  title = {Multiple {{Imputation Using Gaussian Copulas}}},
  author = {Hollenbach, Florian M. and Bojinov, Iavor and Minhas, Shahryar and Metternich, Nils W. and Ward, Michael D. and Volfovsky, Alexander},
  year = {2018},
  month = oct,
  pages = {0049124118799381},
  issn = {0049-1241},
  doi = {10.1177/0049124118799381},
  abstract = {Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this article, we present a simple-to-use method for generating multiple imputations (MIs) using a Gaussian copula. The Gaussian copula for MI allows scholars to attain estimation results that have good coverage and small bias. The use of copulas to model the dependence among variables will enable researchers to construct valid joint distributions of the data, even without knowledge of the actual underlying marginal distributions. MIs are then generated by drawing observations from the resulting posterior joint distribution and replacing the missing values. Using simulated and observational data from published social science research, we compare imputation via Gaussian copulas with two other widely used imputation methods: multiple imputation via chained equations and Amelia II. Our results suggest that the Gaussian copula approach has a slightly smaller bias, higher coverage rates, and narrower confidence intervals compared to the other methods. This is especially true when the variables with missing data are not normally distributed. These results, combined with theoretical guarantees and ease of use, suggest that the approach examined provides an attractive alternative for applied researchers undertaking MIs.},
  file = {/home/aleksandar/Dropbox/Zotero/Hollenbach et al/Hollenbach et al_2018_Multiple Imputation Using Gaussian Copulas2.pdf},
  journal = {Sociological Methods \& Research},
  language = {en}
}

@techreport{holmanSuicideRiskProtective2020,
  title = {Suicide {{Risk}} and {{Protective Factors}}: {{A Network Approach}}},
  shorttitle = {Suicide {{Risk}} and {{Protective Factors}}},
  author = {Holman, Mikayla and Williams, Matt},
  year = {2020},
  month = mar,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/rf4ej},
  abstract = {Objective: Suicide is a complex phenomenon, with numerous factors contributing to an individual's risk of suicide. The aim of the present study was to explore how risk and protective factors for suicide interact with one another in a network sense, and to determine which factors were most central to a network of these factors. Method: Using an online survey, cross-sectional data was collected from a sample of 515 individuals who lived in New Zealand, Australia, the United Kingdom, and the United States of America. Participants were recruited through either social media or Prolific Academic. A network of 18 risk and protective factors for suicide was estimated using network analysis. Analyses were preregistered on the Open Science Framework. Results: Factors that had the highest strength centrality were feeling depressed, feeling hopeless, perceived burdensomeness, self-esteem, and social support. Factors that were directly associated with suicidal ideation included feeling depressed, perceived burdensomeness, feeling hopeless, self-esteem, resilience, access to mental health services and a positive attitude towards these services. Conclusion: This research demonstrates the importance of examining protective factors as well as risk factors when determining an individual's suicide risk. The results suggest that interventions targeting depression may be particularly beneficial in reducing suicide risk, but further longitudinal research is required.},
  file = {/home/aleksandar/Dropbox/Zotero/Holman_Williams/Holman_Williams_2020_Suicide Risk and Protective Factors.pdf},
  language = {en},
  type = {Preprint}
}

@techreport{honeycuttModelPoliticalBias2019,
  title = {A {{Model}} of {{Political Bias}} in {{Social Science Research}}},
  author = {Honeycutt, Nathan and Jussim, Lee},
  year = {2019},
  month = dec,
  institution = {{PsyArXiv}},
  doi = {10.31234/osf.io/kscfa},
  abstract = {In 2019 at the SPSP Political Psychology Pre-Conference, key stakeholders and researchers were invited to debate the question ``does ideological diversity impact the quality of our research?'' If Clark and Winegard's (in press) review of ideological epistemology and its significance to social science is mostly on target, it would predict that many at the debate were unconvinced by those arguing that political bias matters. Why? To the extent that social psychologists function as a moral tribal community (as Clark and Winegard argue), motivated to protect their professional and political interests, they will fight tooth and nail to defend their sacred values and professional statuses against charges of political bias. Regardless, in the rest of this paper we expand upon two of Clark and Winegard's (in press) arguments: 1. there are no reasons to believe that social scientists are immune to the biases, errors, and distortions that stem from tribal loyalties; 2. these tribal tendencies, combined with extreme ideological homogeneity, work to create significant problems for the pursuit of scientific truth. Specifically, we present a heuristic model of political bias that identifies ways they manifest, and we review evidence that bears on it.},
  file = {/home/aleksandar/Dropbox/Zotero/Honeycutt_Jussim/Honeycutt_Jussim_2019_A Model of Political Bias in Social Science Research.pdf},
  language = {en},
  type = {Preprint}
}

@article{hongDetectionHubsComplex2020,
  title = {Detection of Hubs in Complex Networks by the {{Laplacian}} Matrix},
  author = {Hong, Younghee and Chang, Iksoo and Kim, Choongrak},
  year = {2020},
  month = sep,
  issn = {2005-2863},
  doi = {10.1007/s42952-020-00087-0},
  abstract = {We propose a definition of hub in complex networks by using the eigenvectors of the Laplacian matrix, and suggest a method of detecting hubs. The proposed definition provides a different concept from the classical measures such as the centrality or degree. Also, a method of determining the number of hubs is suggested using a scree plot. Illustrative examples based on artificial data sets and real data sets are given.},
  journal = {Journal of the Korean Statistical Society},
  language = {en}
}

@article{hopkinPartyMattersDevolution2009,
  title = {Party {{Matters}}: {{Devolution}} and {{Party Politics}} in {{Britain}} and {{Spain}}},
  shorttitle = {Party {{Matters}}},
  author = {Hopkin, Jonathan},
  editor = {Hopkin, Jonathan and {van Houten}, Pieter},
  year = {2009},
  month = mar,
  volume = {15},
  pages = {179--198},
  issn = {1354-0688, 1460-3683},
  doi = {10.1177/1354068808099980},
  journal = {Party Politics},
  language = {en},
  number = {2}
}

@article{hoppNetworkAnalysisPolitical2019,
  title = {A Network Analysis of Political Incivility Dimensions},
  author = {Hopp, Toby},
  year = {2019},
  month = sep,
  volume = {4},
  pages = {204--223},
  issn = {2057-0473},
  doi = {10.1177/2057047319877278},
  abstract = {Although online political incivility has increasingly become an object of scholarly inquiry, there exists little agreement on the construct's precise definition. The goal of this work was therefore to explore the relational dynamics among previously identified dimensions of online political incivility. The results of a regularized partial correlation network indicated that a communicator's desire to exclude attitude-discrepant others from discussion played an especially influential role in the variable network. The data also suggested that certain facets of incivility may be likely to be deployed together. Specifically, the data suggested the existence of two identifiable groupings of incivility factors: (1) variables pertaining to violation of speech-based norms and (2) variables pertaining to the violation of the inclusion-based norms that underlie democratic communication processes. These results are discussed in the context of political discussion and deliberation.},
  journal = {Communication and the Public},
  language = {en},
  number = {3}
}

@article{hortonDotGuessingGameFruit2010,
  title = {The {{Dot}}-{{Guessing Game}}: {{A}} `{{Fruit Fly}}' for {{Human Computation Research}}},
  shorttitle = {The {{Dot}}-{{Guessing Game}}},
  author = {Horton, John J.},
  year = {2010},
  issn = {1556-5068},
  doi = {10.2139/ssrn.1600372},
  file = {/home/aleksandar/Zotero/storage/MKLDQRMB/Horton - 2010 - The Dot-Guessing Game A ‘Fruit Fly’ for Human Com.pdf},
  journal = {SSRN Electronic Journal},
  language = {en}
}

@article{hortonSubgraphCentralityWalkregularity,
  title = {Subgraph Centrality and Walk-Regularity.},
  author = {Horton, Eric and Kloster, Kyle and Sullivan, Blair D.},
  doi = {arXiv:1804.05966v3},
  abstract = {{$<$}p{$>$}Matrix-based centrality measures have enjoyed significant popularity in network analysis, in no small part due to our ability to rigorously analyze their behavior as parameters vary. Recent work has considered the relationship between subgraph centrality, which is defined using the matrix exponential \$f(x) = \textbackslash exp(x)\$, and the walk structure of a network. In a walk-regular graph, the number of closed walks of each length must be the same for all nodes, implying uniform \$f\$-subgraph centralities for any \$f\$ (or maximum \$f\$-\$\textbackslash textit\{walk entropy\}\$). We consider when non--walk-regular graphs can achieve maximum entropy, calling such graphs \$\textbackslash textit\{entropic\}\$. For parameterized measures, we are also interested in which values of the parameter witness this uniformity. To date, only one entropic graph has been identified, with only two witnessing parameter values, raising the question of how many such graphs and parameters exist. We resolve these questions by constructing infinite families of entropic graphs, as well as a family of witnessing parameters with a limit point at zero. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{hortonSubgraphCentralityWalkregularitya,
  title = {Subgraph Centrality and Walk-Regularity.},
  author = {Horton, Eric and Kloster, Kyle and Sullivan, Blair D.},
  doi = {arXiv:1804.05966v3},
  abstract = {{$<$}p{$>$}Matrix-based centrality measures have enjoyed significant popularity in network analysis, in no small part due to our ability to rigorously analyze their behavior as parameters vary. Recent work has considered the relationship between subgraph centrality, which is defined using the matrix exponential \$f(x) = \textbackslash exp(x)\$, and the walk structure of a network. In a walk-regular graph, the number of closed walks of each length must be the same for all nodes, implying uniform \$f\$-subgraph centralities for any \$f\$ (or maximum \$f\$-\$\textbackslash textit\{walk entropy\}\$). We consider when non--walk-regular graphs can achieve maximum entropy, calling such graphs \$\textbackslash textit\{entropic\}\$. For parameterized measures, we are also interested in which values of the parameter witness this uniformity. To date, only one entropic graph has been identified, with only two witnessing parameter values, raising the question of how many such graphs and parameters exist. We resolve these questions by constructing infinite families of entropic graphs, as well as a family of witnessing parameters with a limit point at zero. {$<$}/p{$>$}},
  journal = {arXiv Physics and Society}
}

@article{houyCommonDynamicsIdentity2019,
  title = {Common {{Dynamics}} of {{Identity}} and {{Immigration}}: {{The Roles}} of {{Mobility}} and {{Democracy}}},
  shorttitle = {Common {{Dynamics}} of {{Identity}} and {{Immigration}}},
  author = {Houy, Nicolas},
  year = {2019},
  volume = {22},
  pages = {4},
  issn = {1460-7425},
  file = {/home/aleksandar/Zotero/storage/7XH3LA56/4.html},
  journal = {Journal of Artificial Societies and Social Simulation},
  number = {4}
}

@article{huangLaplacianChangePoint2020,
  title = {Laplacian {{Change Point Detection}} for {{Dynamic Graphs}}},
  author = {Huang, Shenyang and Hitti, Yasmeen and Rabusseau, Guillaume and Rabbany, Reihaneh},
  year = {2020},
  month = jul,
  doi = {10.1145/3394486.3403077},
  abstract = {Dynamic and temporal graphs are rich data structures that are used to model complex relationships between entities over time. In particular, anomaly detection in temporal graphs is crucial for many real world applications such as intrusion identification in network systems, detection of ecosystem disturbances and detection of epidemic outbreaks. In this paper, we focus on change point detection in dynamic graphs and address two main challenges associated with this problem: I) how to compare graph snapshots across time, II) how to capture temporal dependencies. To solve the above challenges, we propose Laplacian Anomaly Detection (LAD) which uses the spectrum of the Laplacian matrix of the graph structure at each snapshot to obtain low dimensional embeddings. LAD explicitly models short term and long term dependencies by applying two sliding windows. In synthetic experiments, LAD outperforms the state-of-the-art method. We also evaluate our method on three real dynamic networks: UCI message network, US senate co-sponsorship network and Canadian bill voting network. In all three datasets, we demonstrate that our method can more effectively identify anomalous time points according to significant real world events.},
  archivePrefix = {arXiv},
  eprint = {2007.01229},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Zotero/storage/Y5SYZETD/Huang et al. - 2020 - Laplacian Change Point Detection for Dynamic Graph.pdf;/home/aleksandar/Zotero/storage/VJCTKUPX/2007.html},
  journal = {arXiv:2007.01229 [cs, stat]},
  primaryClass = {cs, stat}
}

@article{huangSurveyCommunityDetection2020,
  title = {A Survey of Community Detection Methods in Multilayer Networks},
  author = {Huang, Xinyu and Chen, Dongming and Ren, Tao and Wang, Dongqi},
  year = {2020},
  month = oct,
  issn = {1573-756X},
  doi = {10.1007/s10618-020-00716-6},
  abstract = {Community detection is one of the most popular researches in a variety of complex systems, ranging from biology to sociology. In recent years, there's an increasing focus on the rapid development of more complicated networks, namely multilayer networks. Communities in a single-layer network are groups of nodes that are more strongly connected among themselves than the others, while in multilayer networks, a group of well-connected nodes are shared in multiple layers. Most traditional algorithms can rarely perform well on a multilayer network without modifications. Thus, in this paper, we offer overall comparisons of existing works and analyze several representative algorithms, providing a comprehensive understanding of community detection methods in multilayer networks. The comparison results indicate that the promoting of algorithm efficiency and the extending for general multilayer networks are also expected in the forthcoming studies.},
  file = {/home/aleksandar/Documents/Zotero/Huang et al/Huang et al_2020_A survey of community detection methods in multilayer networks.pdf},
  journal = {Data Mining and Knowledge Discovery},
  language = {en}
}

@article{huaNoteConsistencyBayesian,
  title = {A Note on Consistency of {{Bayesian}} High-Dimensional Variable Selection under a Default Prior},
  author = {Hua, Min and Goh, Gyuhyeong},
  volume = {n/a},
  pages = {e282},
  issn = {2049-1573},
  doi = {10.1002/sta4.282},
  abstract = {Zellner's g-prior is one of the most popular choices for model selection in Bayesian linear regression. Despite its popularity, the asymptotic theory for high-dimensional variable selection is not yet fully developed. In this paper, we investigate the asymptotic behavior of Bayesian model selection under the g-prior as the model dimension grows with the sample size. We find a simple and intuitive condition under which the posterior model distribution tends to be concentrated on the true model as the sample size increases even if the number of predictors grows much faster than the sample size does. Simulation study results indicate that satisfaction of this condition is essential for the success of Bayesian high-dimensional variable selection under the g-prior.},
  annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.282},
  copyright = {This article is protected by copyright. All rights reserved.},
  file = {/home/aleksandar/Zotero/storage/WJLJSVEW/sta4.html},
  journal = {Stat},
  language = {en},
  number = {n/a}
}

@article{huberDrunkenGuestEurope,
  title = {A Drunken Guest in {{Europe}}?},
  author = {Huber, Robert A and Schimpf, Christian H},
  pages = {27},
  abstract = {This paper examines the influence of populist radical-right parties (PRRPs) on the democratic quality in Europe. We build on both, theoretical work and qualitative evaluations on the influence of populism on democratic quality. We follow Cas Mudde and Cristob\'al Rovira Kaltwasser's (2012) distinction between populism in government and populism in opposition. We expect populism in opposition to function as a corrective. That is to say, it acts as a ``drunken guest'' who blurts out painful truths (e. g. issues which are ignored by other parties or shortcomings of policy outputs). In government, however, it is likely to harm democratic quality since it does not respect the rules of public contestation (e. g. undermining the legitimacy of democratic institutions). Furthermore, we contend that the effect's size is moderated by the level of consolidation, and in the case of PRRPs in government, by the specific type of government.},
  file = {/home/aleksandar/Zotero/storage/PBY4NQL8/Huber and Schimpf - A drunken guest in Europe.pdf},
  language = {en}
}

@article{huCompetingOpinionDiffusion2017,
  title = {Competing Opinion Diffusion on Social Networks},
  author = {Hu, Haibo},
  year = {2017},
  volume = {4},
  pages = {171160},
  publisher = {{Royal Society}},
  doi = {10.1098/rsos.171160},
  abstract = {Opinion competition is a common phenomenon in real life, such as with opinions on controversial issues or political candidates; however, modelling this competition remains largely unexplored. To bridge this gap, we propose a model of competing opinion diffusion on social networks taking into account degree-dependent fitness or persuasiveness. We study the combined influence of social networks, individual fitnesses and attributes, as well as mass media on people's opinions, and find that both social networks and mass media act as amplifiers in opinion diffusion, the amplifying effect of which can be quantitatively characterized. We analytically obtain the probability that each opinion will ultimately pervade the whole society when there are no committed people in networks, and the final proportion of each opinion at the steady state when there are committed people in networks. The results of numerical simulations show good agreement with those obtained through an analytical approach. This study provides insight into the collective influence of individual attributes, local social networks and global media on opinion diffusion, and contributes to a comprehensive understanding of competing diffusion behaviours in the real world.},
  file = {/home/aleksandar/Documents/Zotero/Hu/Hu_Competing opinion diffusion on social networks.pdf;/home/aleksandar/Zotero/storage/PTCPZRQT/rsos.html},
  journal = {Royal Society Open Science},
  number = {11}
}

@article{huddyExpressivePartisanshipCampaign2015,
  title = {Expressive Partisanship: {{Campaign}} Involvement, Political Emotion, and Partisan Identity},
  shorttitle = {Expressive Partisanship},
  author = {Huddy, Leonie and Mason, Lilliana and Aar{\o}e, Lene},
  year = {2015},
  volume = {109},
  pages = {1--17},
  publisher = {{Cambridge University Press}},
  journal = {American Political Science Review},
  number = {1}
}

@article{hulingEnergyBalancingCovariate2020,
  title = {Energy {{Balancing}} of {{Covariate Distributions}}},
  author = {Huling, Jared D. and Mak, Simon},
  year = {2020},
  month = apr,
  abstract = {Bias in causal comparisons has a direct correspondence with distributional imbalance of covariates between treatment groups. Weighting strategies such as inverse propensity score weighting attempt to mitigate bias by either modeling the treatment assignment mechanism or balancing specified covariate moments. This paper introduces a new weighting method, called energy balancing, which instead aims to balance weighted covariate distributions. By directly targeting the root source of bias, the proposed weighting strategy can be flexibly utilized in a wide variety of causal analyses, including the estimation of average treatment effects and individualized treatment rules. Our energy balancing weights (EBW) approach has several advantages over existing weighting techniques. First, it offers a model-free and robust approach for obtaining covariate balance, obviating the need for modeling decisions of secondary nature to the scientific question at hand. Second, since this approach is based on a genuine measure of distributional balance, it provides a means for assessing the balance induced by a given set of weights. Finally, the proposed method is computationally efficient and has desirable theoretical guarantees under mild conditions. We demonstrate the effectiveness of this EBW approach in a suite of simulation experiments and in a study on the safety of right heart catheterization.},
  archivePrefix = {arXiv},
  eprint = {2004.13962},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Huling_Mak/Huling_Mak_2020_Energy Balancing of Covariate Distributions.pdf},
  journal = {arXiv:2004.13962 [stat]},
  language = {en},
  primaryClass = {stat}
}

@article{hunsbergerReligionMeaningPrejudice2005,
  title = {Religion, {{Meaning}}, and {{Prejudice}}},
  author = {Hunsberger, Bruce and Jackson, Lynne M.},
  year = {2005},
  volume = {61},
  pages = {807--826},
  issn = {1540-4560},
  doi = {10.1111/j.1540-4560.2005.00433.x},
  abstract = {Links between religion and prejudice have been interpreted to suggest that religion can both reduce and exacerbate prejudice. Here, the analysis of religion as a meaning system illuminates how religion can affect intergroup attitudes. Traditional psychological perspectives on religion and prejudice are summarized, followed by a discussion of religion and prejudice in cross-cultural and cross-religious contexts, involving varying target groups. Next, we explore possible explanatory mechanisms by proposing how four levels of meaning associated with religion\textemdash cognitive, motivational, societal, and intergroup\textemdash may both promote and attenuate prejudice. Finally, additional factors that might facilitate the paradoxical coexistence of religious egalitarian intentions with prejudiced attitudes are considered, and we speculate about the potential for religious groups to reduce prejudice within their adherents.},
  journal = {Journal of Social Issues},
  language = {en},
  number = {4}
}

@book{huntington2012third,
  title = {The Third Wave: {{Democratization}} in the Late 20th Century},
  author = {Huntington, S.P.},
  year = {2012},
  publisher = {{University of Oklahoma Press}},
  isbn = {978-0-8061-8604-7},
  series = {The Julian j. {{Rothbaum}} Distinguished Lecture Series}
}

@article{huntingtonDemocracyThirdWave1991,
  title = {Democracy's Third Wave},
  author = {Huntington, Samuel P},
  year = {1991},
  volume = {2},
  pages = {12--34},
  issn = {1086-3214},
  doi = {10.1353/jod.1991.0016},
  journal = {Journal of Democracy},
  language = {en},
  number = {2}
}

@article{hurwiczConstructionOutcomeFunctions1978,
  title = {Construction of Outcome Functions Guaranteeing Existence and {{Pareto}} Optimality of {{Nash}} Equilibria},
  author = {Hurwicz, Leonid and Schmeidler, David},
  year = {1978},
  month = nov,
  volume = {46},
  pages = {1447},
  issn = {00129682},
  doi = {10.2307/1913838},
  journal = {Econometrica},
  number = {6}
}

@article{iacusTheoryStatisticalInference,
  ids = {iacusTheoryStatisticalInferencea},
  title = {A {{Theory}} of {{Statistical Inference}} for {{Matching Methods}} in {{Causal Research}}},
  author = {Iacus, Stefano M. and King, Gary and Porro, Giuseppe},
  doi = {10.1017/pan.2018.29},
  abstract = {{$<$}p{$>$}Researchers who generate data often optimize efficiency and robustness by choosing stratified over simple random sampling designs. Yet, all theories of inference proposed to justify matching methods are based on simple random sampling. This is all the more troubling because, although these theories require exact matching, most matching applications resort to some form of ex post stratification (on a propensity score, distance metric, or the covariates) to find approximate matches, thus nullifying the statistical properties these theories are designed to ensure. Fortunately, the type of sampling used in a theory of inference is an axiom, rather than an assumption vulnerable to being proven wrong, and so we can replace simple with stratified sampling, so long as we can show, as we do here, that the implications of the theory are coherent and remain true. Properties of estimators based on this theory are much easier to understand and can be satisfied without the unattractive properties of existing theories, such as assumptions hidden in data analyses rather than stated up front, asymptotics, unfamiliar estimators, and complex variance calculations. Our theory of inference makes it possible for researchers to treat matching as a simple form of preprocessing to reduce model dependence, after which all the familiar inferential techniques and uncertainty calculations can be applied. This theory also allows binary, multicategory, and continuous treatment variables from the outset and straightforward extensions for imperfect treatment assignment and different versions of treatments.{$<$}/p{$>$}},
  journal = {Political Analysis}
}

@article{iiMathematicalModelAttitude1992,
  title = {A Mathematical Model for Attitude Formation by Pair Interactions},
  author = {Ii, Dirk Helbing},
  year = {1992},
  volume = {37},
  pages = {190--214},
  issn = {1099-1743},
  doi = {10.1002/bs.3830370304},
  abstract = {Two complementary mathematical models for attitude formation are considered: Starting from the model of Weidlich and Haag (1983) which assumes indirect interactions that are mediated by a mean field, a new model is proposed, which is characterized by direct pair interactions. Three types of pair interactions leading to attitude changes can be found: First, changes by some kind of avoidance behavior. Second, changes by a readiness for compromises. Third, changes by persuasion. Different types of behavior are distinguished by introducing several subpopulations. Representative solutions of the model are illustrated by computational results.},
  annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/bs.3830370304},
  copyright = {Copyright \textcopyright{} 1992 John Wiley \& Sons, Ltd.},
  file = {/home/aleksandar/Zotero/storage/92YYRBP7/bs.html},
  journal = {Behavioral Science},
  language = {en},
  number = {3}
}

@article{ilonszkiParliamentaryElectionsHungary2016,
  title = {Parliamentary Elections in {{Hungary}}, 2014},
  author = {Ilonszki, Gabriella and V{\'a}rnagy, R{\'e}ka},
  year = {2016},
  month = sep,
  volume = {43},
  pages = {169--172},
  issn = {02613794},
  doi = {10.1016/j.electstud.2016.04.003},
  journal = {Electoral Studies},
  language = {en}
}

@article{inacioWisdomCrowdsForecasting2020,
  title = {Wisdom of the Crowds Forecasting the 2018 {{FIFA Men}}'s {{World Cup}}},
  author = {In{\'a}cio, Marco Henrique de Almeida and Izbicki, Rafael and Lopes, Danilo Louren{\c c}o and Salasar, Luis Ernesto and Poloniato, Jo{\~a}o and Diniz, Marcio Alves},
  year = {2020},
  month = aug,
  abstract = {The FIFA Men's World Cup Tournament (WCT) is the most important football (soccer) competition, attracting worldwide attention. A popular practice among football fans in Brazil is to organize contests in which each participant informs guesses on the final score of each match. The participants are then ranked according to some scoring rule. Inspired by these contests, we created a website to hold an online contest, in which participants were asked for their probabilities on the outcomes of upcoming matches of the WCT. After each round of the tournament, the ranking of all users based on a proper scoring rule were published. This paper studies the performance of some methods intended to extract the wisdom of the crowds, which are aggregated forecasts that uses some or all of the forecasts available. The later methods are compared to simpler forecasting strategies as well as to statistical prediction models. Our findings corroborate the hypothesis that, at least for sporting events, the wisdom of the crowds offers a competitive forecasting strategy. Specifically, some of these strategies were able to achieve high scores in our contest.},
  archivePrefix = {arXiv},
  eprint = {2008.13005},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Documents/Zotero/Inácio et al/Inácio et al_2020_Wisdom of the crowds forecasting the 2018 FIFA Men's World Cup.pdf;/home/aleksandar/Zotero/storage/7IZPW8CG/2008.html},
  journal = {arXiv:2008.13005 [stat]},
  primaryClass = {stat}
}

@article{ingaleResourceDependencySurvivability2020,
  title = {Resource Dependency and Survivability in Complex Networks},
  author = {Ingale, Madhusudan and Shekatkar, Snehal M.},
  year = {2020},
  month = jun,
  abstract = {Components in many real-world complex systems depend on each other for the resources required for survival, and may die if sufficient amount is not obtained. These patterns of dependencies often take a form of a complex network whose structure potentially affects how the resources produced in the system are efficiently shared among its components, which in turn decides network's survivability. Here we present a simple model that provides insight into this relationship between the network structure and survivability. We show that, as a combined effect of local sharing and finite lifetime of resources, many components in a complex system may die of lack of resources even when sufficient amount is available in the system. We also obtain a surprising result that although the scale-free networks exhibit a significantly higher survivability compared to their homogeneous counterparts, a vertex in the later has a better chance of survival for long. Finally, we demonstrate that the system's survivability can be substantially improved by changing the way vertices distribute resources among the neighbours. Our work is a first step towards understanding the relationship between intricate resource dependencies present in many real-world complex systems and their survivability.},
  archivePrefix = {arXiv},
  eprint = {2006.07082},
  eprinttype = {arxiv},
  file = {/home/aleksandar/Dropbox/Zotero/Ingale_Shekatkar/Ingale_Shekatkar_2020_Resource dependency and survivability in complex networks.pdf;/home/aleksandar/Zotero/storage/YP9E749J/2006.html},
  journal = {arXiv:2006.07082 [nlin, physics:physics]},
  primaryClass = {nlin, physics:physics}
}

@article{inglehartModernizationCulturalChange2000,
  title = {Modernization, {{Cultural Change}}, and the {{Persistence}} of {{Traditional Values}}},
  author = {Inglehart, Ronald and Baker, Wayne E.},
  year = {2000},
  volume = {65},
  pages = {19--51},
  issn = {00031224},
  doi = {10.2307/2657288},
  abstract = {[Modernization theorists from Karl Marx to Daniel Bell have argued that economic development brings pervasive cultural changes. But others, from Max Weber to Samuel Huntington, have claimed that cultural values are an enduring and autonomous influence on society. We test the thesis that economic development is linked with systematic changes in basic values. Using data from the three waves of the World Values Surveys, which include 65 societies and 75 percent of the world's population, we find evidence of both massive cultural change and the persistence of distinctive cultural traditions. Economic development is associated with shifts away from absolute norms and values toward values that are increasingly rational, tolerant, trusting, and participatory. Cultural change, however, is path dependent. The broad cultural heritage of a society-Protestant, Roman Catholic, Orthodox, Confucian, or Communist-leaves an imprint on values that endures despite modernization. Moreover, the differences between the values held by members of different religions within given societies are much smaller than are cross-national differences. Once established, such cross-cultural differences become part of a national culture transmitted by educational institutions and mass media. We conclude with some proposed revisions of modernization theory.]},
  journal = {American Sociological Review},
  number = {1}
}

@article{InternationalConstraintsElectoral,
  title = {International {{Constraints}} and {{Electoral Decisions}}: {{Does}} the {{Room}} to {{Maneuver Attenuate Economic Voting}}?},
  doi = {10.1111/ajps.12362},
  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{$>$}Prominent studies of electoral accountability and economic voting suggest that government             constraints and international financial structures decrease the economic vote. The             proposed mechanism is often labeled as the ``room to maneuver,'' and it posits that             because elected officials have limited space to propose and implement economic policy,             politicians can shirk responsibility, and thus voters are less likely to place voting             weights on the economy. However, results from elections that took place in Europe             during the Great Recession and scholarly research on economic voting in these elections cast serious doubts             on the causal mechanism. This article directly tests this mechanism with a survey             experiment using data from Greece (the country most affected by the debt crisis).             The results suggest that although the economic vote is strong and substantive, its             size does not vary across the room to maneuver treatments. This finding informs the             literature on economic voting and carries out important implications for party strategies             with respect to exogenous policy impositions and their electoral effects.          {$<$}/p{$>$}},
  journal = {American Journal of Political Science}
}

@article{InternationalConstraintsElectorala,
  title = {International {{Constraints}} and {{Electoral Decisions}}: {{Does}} the {{Room}} to {{Maneuver Attenuate Economic Voting}}?},
  doi = {10.1111/ajps.12362},
  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{$>$}Prominent studies of electoral accountability and economic voting suggest that government             constraints and international financial structures decrease the economic vote. The             proposed mechanism is often labeled as the ``room to maneuver,'' and it posits that             because elected officials have limited space to propose and implement economic policy,             politicians can shirk responsibility, and thus voters are less likely to place voting             weights on the economy. However, results from elections that took place in Europe             during the Great Recession and scholarly research on economic voting in these elections cast serious doubts             on the causal mechanism. This article directly tests this mechanism with a survey             experiment using data from Greece (the country most affected by the debt crisis).             The results suggest that although the economic vote is strong and substantive, its             size does not vary across the room to maneuver treatments. This finding informs the             literature on economic voting and carries out important implications for party strategies             with respect to exogenous policy impositions and their electoral effects.          {$<$}/p{$>$}},
  journal = {American Journal of Political Science}
}

@misc{IntroductionProbabilityJoseph,
  title = {Introduction to {{Probability}} by {{Joseph K}}. {{Blitzstein}}, {{Jessica Hwang}} (z-Lib.Org).Pdf}
}

@misc{InvestigatingPerformanceExploratory,
  title = {Investigating the Performance of Exploratory Graph Analysis and Traditional Techniques to Identify the Number of Latent Factors: {{A}} Simulation and Tutorial. - {{PsycNET}}},
  file = {/home/aleksandar/Zotero/storage/3B8DFQMK/doiLanding.html},
  howpublished = {https://doi.apa.org/doiLanding?doi=10.1037\%2Fmet0000255}
}

@inproceedings{ishiiTheoryOpinionDistribution2020,
  title = {Theory of {{Opinion Distribution}} in {{Human Relations Where Trust}} and {{Distrust Mixed}}},
  booktitle = {Intelligent {{Decision Technologies}}},
  author = {Ishii, Akira and Kawahata, Yasuko},
  editor = {Czarnowski, Ireneusz and Howlett, Robert J. and Jain, Lakhmi C.},
  year = {2020},
  pages = {471--478},
  publisher = {{Springer}},
  address = {{Singapore}},
  doi = {10.1007/978-981-15-5925-9_40},
  abstract = {In this paper, we simulated based on the theory of the dynamics of a recent new opinion that incorporates both trust and distrust in human relationships. As a result, it was observed that the aspect of consensus building depends on the ratio between the confidence coefficient and the distrust coefficient. For the model proposed in this study, the ratio of confidence factor to mistrust tended to change, like a phase transition near 55\%. This implies that 55\% of the connections between people are sufficient for a Esociety to reach consensus.},
  isbn = {9789811559259},
  language = {en},
  series = {Smart {{Innovation}}, {{Systems}} and {{Technologies}}}
}

@article{ishiyamaRegionalismNationalizationLegislative2002,
  title = {Regionalism and the Nationalization of the Legislative Vote in Post-Communist {{Russian}} Politics},
  author = {Ishiyama, John T},
  year = {2002},
  month = jun,
  volume = {35},
  pages = {155--168},
  issn = {0967067X},
  doi = {10.1016/S0967-067X(02)00005-3},
  journal = {Communist and Post-Communist Studies},
  language = {en},
  number = {2}
}

@article{IssueVotingConstrained,
  title = {Issue {{Voting}} as a {{Constrained Choice Problem}}},
  doi = {10.1111/ajps.12342},
  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{$>$}Prevalent models of issue voting view vote choice as a choice among party policies.             Choice sets are implicitly assumed to be the same for all voters, and their composition             is left to researchers' discretion. This article aims to relax such assumptions by             presenting a model with a varying probability of inclusion in the choice set. We apply             the ``constrained choice conditional logistic regression'' to survey data from the 1989             parliamentary election in Norway to examine the effects of party identification of             voters and electoral viability and policy extremity of parties on individual voters'             choice set compositions. Further, we look into the effect of parties' policy positions             on their electoral fates under alternative assumptions about the composition of voters'             choice sets. We find that voters' choice set composition conditions both the effects             of their policy considerations on vote choice and those of parties' policy offerings             on their electoral fates.          {$<$}/p{$>$}},
  journal = {American Journal of Political Science}
}

@article{IssueVotingConstraineda,
  title = {Issue {{Voting}} as a {{Constrained Choice Problem}}},
  doi = {10.1111/ajps.12342},
  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{$>$}Prevalent models of issue voting view vote choice as a choice among party policies.             Choice sets are implicitly assumed to be the same for all voters, and their composition             is left to researchers' discretion. This article aims to relax such assumptions by             presenting a model with a varying probability of inclusion in the choice set. We apply             the ``constrained choice conditional logistic regression'' to survey data from the 1989             parliamentary election in Norway to examine the effects of party identification of             voters and electoral viability and policy extremity of parties on individual voters'             choice set compositions. Further, we look into the effect of parties' policy positions             on their electoral fates under alternative assumptions about the composition of voters'             choice sets. We find that voters' choice set composition conditions both the effects             of their policy considerations on vote choice and those of parties' policy offerings             on their electoral fates.          {$<$}/p{$>$}},
  journal = {American Journal of Political Science}
}

@article{itzchakovDonLetFacts2020,
  title = {Don't Let the Facts Ruin a Good Story: {{The}} Effect of Vivid Reviews on Attitude Ambivalence and Its Coping Mechanisms},
  shorttitle = {Don't Let the Facts Ruin a Good Story},
  author = {Itzchakov, Guy and Amar, Moty and Van Harreveld, Frenk},
  year = {2020},
  month = may,
  volume = {88},
  pages = {103938},
  issn = {0022-1031},
  doi = {10.1016/j.jesp.2019.103938},
  abstract = {Purchasing decisions are increasingly based on reviews by fellow consumers which often consist of positive and negative evaluations about the product (i.e. valence-inconsistency). We tested how the vividness of these reviews affects individuals' attitude ambivalence towards the product and their strategies to cope with this ambivalence. We hypothesized that reading vivid and valence-inconsistent reviews would lead to increased awareness of opposing features of attitudes towards the product (i.e. increased simultaneous accessibility) as compared to reading less vivid valence-inconsistent reviews. If this is indeed the case, individuals should feel more conflicted towards the attitude object (i.e. increased subjective ambivalence) and should be motivated to reduce it by using ambivalence-coping strategies, specifically (a) processing additional information that is congruent with their initial attitude and (b) delaying their decision. These hypotheses were mostly supported across five experiments. The experiments included manipulations of valence-inconsistent information between reviews and within a review including three preregistered studies (Ns~=~247, 396, 701, 433, 313, respectively).},
  journal = {Journal of Experimental Social Psychology},
  language = {en}
}

@article{jackmanWhyDoesAmerican2019,
  title = {Why {{Does}} the {{American National Election Study Overestimate Voter Turnout}}?},
  author = {Jackman, Simon and Spahn, Bradley},
  year = {2019},
  month = apr,
  volume = {27},
  pages = {193--207},
  issn = {1047-1987, 1476-4989},
  doi = {10.1017/pan.2018.36},
  abstract = {Surveys are a key tool for understanding political behavior, but they are subject to biases that render their estimates about the frequency of socially desirable behaviors inaccurate. For decades the American National Election Study (ANES) has overestimated voter turnout, though the causes of this persistent bias are poorly understood. The face-to-face component of the 2012 ANES produced a turnout estimate at least 13 points higher than the benchmark voting-eligible population turnout rate. We consider three explanations for this overestimate in the survey: nonresponse bias, over-reporting and the possibility that the ANES constitutes an inadvertent mobilization treatment. Analysis of turnout data supplied by voter file vendors allows the three phenomena to be measured for the first time in a single survey. We find that over-reporting is the largest contributor, responsible for six percentage points of the turnout overestimate, while nonresponse bias and mobilization account for an additional 4 and 3 percentage points, respectively.},
  file = {/home/aleksandar/Zotero/storage/PCRFWA3H/78AAF29C00F368C735507F0D5160AE20.html},
  journal = {Political Analysis},
  language = {en},
  number = {2}
}

@article{jacksonCorrectedStandardErrorsundefined/ed,
  title = {Corrected {{Standard Errors}} with {{Clustered Data}}},
  author = {Jackson, John E.},
  year = {undefined/ed},
  pages = {1--22},
  issn = {1047-1987, 1476-4989},
  doi = {10.1017/pan.2019.38},
  abstract = {The use of cluster robust standard errors (CRSE) is common as data are often collected from units, such as cities, states or countries, with multiple observations per unit. There is considerable discussion of how best to estimate standard errors and confidence intervals when using CRSE (Harden 2011; Imbens and Koles\'ar 2016; MacKinnon and Webb 2017; Esarey and Menger 2019). Extensive simulations in this literature and here show that CRSE seriously underestimate coefficient standard errors and their associated confidence intervals, particularly with a small number of clusters and when there is little within cluster variation in the explanatory variables. These same simulations show that a method developed here provides more reliable estimates of coefficient standard errors. They underestimate confidence intervals for tests of individual and sets of coefficients in extreme conditions, but by far less than do CRSE. Simulations also show that this method produces more accurate standard error and confidence interval estimates than bootstrapping, which is often recommended as an alternative to CRSE.},
  file = {/home/aleksandar/Zotero/storage/QUEB2AIU/F2332E494290725256181955B9BC7428.html},
  journal = {Political Analysis},
  language = {en}
}

@article{jainRecognitionOpinionLeaders2020,
  title = {Recognition of Opinion Leaders Coalitions in Online Social Network Using Game Theory},
  author = {Jain, Lokesh and Katarya, Rahul and Sachdeva, Shelly},
  year = {2020},
  month = sep,
  volume = {203},
  pages = {106158},
  issn = {0950-7051},
  doi = {10.1016/j.knosys.2020.106158},
  abstract = {Nowadays, human decision-making power and attitude revolutionize over time and change their viewpoint towards substantial convinced values because of the influence of social media. Social network plays a crucial role in human life with the progression of technology. In the online social network, the responsibility of opinion leaders is also vital in information diffusion and promotion purposes. In this manuscript, we proposed a different Game theory-based Opinion Leader Detection (GOLD) algorithm to identify the group of users having the maximum synergy declared as the coalition of opinion leaders. For implementing purpose, we used the game theory approach in which all the users behave like a player, and a trustor\textendash trustee tree formed comprised coalitions based on trust and conditional probability. We proposed an inventive and distinctive solution to measures the individual payoff using the distance-based centrality parameter. We also computed the Shapley value for each user to identify the maximum marginal contribution and determined the maximum synergy of each coalition. The main advantage of the proposed approach is to strengthen the power of the coalition and produced the synergetic outcome. The proposed approach delivered around 90\% accuracy and decreased 37\% execution time. Therefore, it provides superior results regarding the accuracy, precision, time complexity, rate of convergence, and computational time with other SNA (Social Network Analysis) measures.},
  file = {/home/aleksandar/Zotero/storage/68UNM969/S0950705120304007.html},
  journal = {Knowledge-Based Systems},
  language = {en}
}

@article{jaiswalDetectingOverlappingCommunities2020,
  title = {Detecting {{Overlapping Communities Using Distributed Neighbourhood Threshold}} in {{Social Networks}}},
  author = {Jaiswal, Rajesh and Ramanna, Sheela},
  year = {2020},
  month = jun,
  volume = {12179},
  pages = {432--445},
  doi = {10.1007/978-3-030-52705-1_32},
  abstract = {In this work, we have proposed a simple overlapping community detection algorithm based on a distributed neighbourhood threshold method (DNTM). DNTM uses pre-partitioned disjoint communities and then analyzes the neighbourhood distribution of boundary nodes in disjoint communities to detect overlapping communities. It is a form of seed-based global method since boundary nodes are considered as seeds and become the starting point for detecting overlapping communities. Threshold value for each boundary node is used as minimum influence by the neighbours of a node in order to determine its belongingness to any community. The effectiveness of the DNTM algorithm has been demonstrated by testing on fifteen real-world datasets and compared with seven overlapping community detection algorithms. DNTM outperforms comparable algorithms with 10 out of 15 datasets and gives comparable results for the remaining 5 datasets in terms of the extended modularity \textbackslash documentclass[12pt]\{minimal\} 				\textbackslash usepackage\{amsmath\} 				\textbackslash usepackage\{wasysym\}  				\textbackslash usepackage\{amsfonts\}  				\textbackslash usepackage\{amssymb\}  				\textbackslash usepackage\{amsbsy\} 				\textbackslash usepackage\{mathrsfs\} 				\textbackslash usepackage\{upgreek\} 				\textbackslash setlength\{\textbackslash oddsidemargin\}\{-69pt\} 				\textbackslash begin\{document\}\$\$Q\_\{ov\}\$\$\textbackslash end\{document\} measure. Experiments with various disjoint algorithms on 15 datasets reveal that DNTM with tolerance community detection (TCD) as a preprocessing algorithm gives the best result.},
  file = {/home/aleksandar/Dropbox/Zotero/Jaiswal_Ramanna/Jaiswal_Ramanna_2020_Detecting Overlapping Communities Using Distributed Neighbourhood Threshold in.pdf},
  journal = {Rough Sets},
  pmcid = {PMC7338183},
  pmid = {null}
}

@article{jankowskyCompilingMeasurementInvariant,
  title = {Compiling {{Measurement Invariant Short Scales}} in {{Cross}}-{{Cultural Personality Assessment Using Ant Colony Optimization}}},
  author = {Jankowsky, Kristin and Olaru, Gabriel and Schroeders, Ulrich},
  volume = {n/a},
  issn = {1099-0984},
  doi = {10.1002/per.2260},
  abstract = {Examining the influence of culture on personality and its unbiased assessment is the main subject of cross-cultural personality research. Recent large-scale studies exploring personality differences across cultures share substantial methodological and psychometric shortcomings that render it difficult to differentiate between method and trait variance. One prominent example is the implicit assumption of cross-cultural measurement invariance in personality questionnaires. In the rare instances where measurement invariance across cultures was tested, scalar measurement invariance\textemdash which is required for unbiased mean-level comparisons of personality traits\textemdash did not hold. In this article, we present an item sampling procedure, ant colony optimization, which can be used to select item sets that satisfy multiple psychometric requirements including model fit, reliability, and measurement invariance. We constructed short scales of the IPIP-NEO-300 for a group of countries that are culturally similar (USA, Australia, Canada, and UK) as well as a group of countries with distinct cultures (USA, India, Singapore, and Sweden). In addition to examining factor mean differences across countries, we provide recommendations for cross-cultural research in general. From a methodological perspective, we demonstrate ant colony optimization's versatility and flexibility as an item sampling procedure to derive measurement invariant scales for cross-cultural research. \textcopyright{} 2020 The Authors. European Journal of Personality published by John Wiley \& Sons Ltd on behalf of European Association of Personality Psychology},
  annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/per.2260},
  file = {/home/aleksandar/Zotero/storage/6SMEGNLY/per.html},
  journal = {European Journal of Personality},
  language = {en},
  number = {n/a}
}

@article{jastramskisRetrospectiveVotingCentral2019,
  title = {Retrospective Voting in {{Central}} and {{Eastern Europe}}: {{Hyper}}-Accountability, Corruption or Socio-Economic Inequality?},
  shorttitle = {Retrospective Voting in {{Central}} and {{Eastern Europe}}},
  author = {Jastramskis, Ma{\v z}vydas and Kuok{\v s}tis, Vytautas and Baltrukevi{\v c}ius, Matas},
  year = {2019},
  month = oct,
  pages = {1354068819880320},
  issn = {1354-0688},
  doi = {10.1177/1354068819880320},
  abstract = {We investigate retrospective voting in the Central\textendash Eastern European countries since the democratic transition. We find that the phenomenon of `hyper-accountability' identified by earlier scholarship is still prevalent in the region \textendash{} incumbents lose substantially on average. Economic conditions \textendash{} unemployment and wealth \textendash{} exert influence on the chances of incumbent re-election. However, contrary to expectations expressed in earlier scholarship, the influence of the economy on the election results does not strengthen over time. We also explore additional facets of retrospective voting and find that changes in socio-economic inequality are correlated with the vote share of incumbents. Finally, we also find evidence of an interaction between economic conditions and corruption as well as inequality when it comes to explaining incumbents' electoral results.},
  journal = {Party Politics},
  language = {en}
}

@article{jenkinsSolutionMinimumSample2020,
  title = {A Solution to Minimum Sample Size for Regressions},
  author = {Jenkins, David G. and {Quintana-Ascencio}, Pedro F.},
  year = {21.02.2020.},
  volume = {15},
  pages = {e0229345},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0229345},
  abstract = {Regressions and meta-regressions are widely used to estimate patterns and effect sizes in various disciplines. However, many biological and medical analyses use relatively low sample size (N), contributing to concerns on reproducibility. What is the minimum N to identify the most plausible data pattern using regressions? Statistical power analysis is often used to answer that question, but it has its own problems and logically should follow model selection to first identify the most plausible model. Here we make null, simple linear and quadratic data with different variances and effect sizes. We then sample and use information theoretic model selection to evaluate minimum N for regression models. We also evaluate the use of coefficient of determination (R2) for this purpose; it is widely used but not recommended. With very low variance, both false positives and false negatives occurred at N {$<$} 8, but data shape was always clearly identified at N {$\geq$} 8. With high variance, accurate inference was stable at N {$\geq$} 25. Those outcomes were consistent at different effect sizes. Akaike Information Criterion weights (AICc wi) were essential to clearly identify patterns (e.g., simple linear vs. null); R2 or adjusted R2 values were not useful. We conclude that a minimum N = 8 is informative given very little variance, but minimum N {$\geq$} 25 is required for more variance. Alternative models are better compared using information theory indices such as AIC but not R2 or adjusted R2. Insufficient N and R2-based model selection apparently contribute to confusion and low reproducibility in various disciplines. To avoid those problems, we recommend that research based on regressions or meta-regressions use N {$\geq$} 25.},
  journal = {PLOS ONE},
  language = {en},
  number = {2}
}

@techreport{jenkovszkyWorldlinesSocialNetworks2020,
  title = {Worldlines and Social Networks},
  author = {Jenkovszky, Laszlo},
  year = {2020},
  month = jul,
  institution = {{Open Science Framework}},
  doi = {10.31219/osf.io/25rbz},
  abstract = {Familiar laws of physics are applied to human relations, modelled by their world lines (worldlines, WLs) combined with social networks. We focus upon the simplest, basic element of any society: a married couple, stable due to the dynamic balance between attraction and repulsion. By building worldlines/worldsheets, we arrive at a two-level coordinate systems: one describing the behaviour of a string-like binary system (here, a married couple), the other one, external, corresponding to the motion of this couple in the medium. The approach is illustrated by simple examples (semi-quantitative toy models) of worldlines/sheets, open to further extension, perfections and generalization. World lines (WL) are combined with social networks (SN). Our innovation is in the application of basic physical laws, attraction and repulsion to human behaviour. Simple examples with empirical inputs taken from intuition and/or observation are appended.},
  file = {/home/aleksandar/Zotero/storage/LWSSWUBV/Jenkovszky - 2020 - Worldlines and social networks.pdf},
  language = {en},
  type = {Preprint}
}

@article{jiangCommunityDetectionBased2020,
  title = {Community {{Detection Based}} on {{Individual Topics}} and {{Network Topology}} in {{Social Networks}}},
  author = {Jiang, Hui and Sun, Linjuan and Ran, Juan and Bai, Jianxia and Yang, Xiaoye},
  year = {2020},
  pages = {1--1},
  issn = {2169-3536},
  doi = {10.1109/ACCESS.2020.3005935},
  abstract = {Detecting community structures is an important research topic in social network analysis. Unfortunately, the fundamental factors that drive the generation of social networks (i.e., the network topology and content) and community structures have not been well investigated. In this paper, according to the natural characteristics of social networks, we reveal that individual topics play a core role in community generation. If two individuals are in the same community and are interested in similar topics, it is more likely that a link will form between them. Otherwise, the probability of generating a link depends on the relationships between their communities and the topics they talk about. Based on the above observations, a novel generative community detection model is proposed that simulates the generation of the network topology and network content by considering individual topics. Moreover, our model utilizes a topic model to generate network content. The model is evaluated on two real-world datasets. The experimental results show that the community detection results outperform all the state-of-the-art baselines. In addition to accurate community detection results, we identify each individual topic distribution and the most popular users corresponding to different topics in each community.},
  file = {/home/aleksandar/Zotero/storage/2TADX365/Jiang et al_2020_Community Detection Based on Individual Topics and Network Topology in Social.pdf;/home/aleksandar/Zotero/storage/KIUCH9MG/9129707.html},
  journal = {IEEE Access},
  keywords = {DONE}
}

@article{jiangEcologicalRegressionPartial2020,
  title = {Ecological {{Regression}} with {{Partial Identification}}},
  author = {Jiang, Wenxin and King, Gary and Schmaltz, Allen and Tanner, Martin A.},
  year = {2020},
  pages = {1--22},
  issn = {1047-1987, 1476-4989},
  doi = {10.1017/pan.2019.19},
  abstract = {Ecological inference (EI) is the process of learning about individual behavior from aggregate data. We relax assumptions by allowing for ``linear contextual effects,'' which previous works have regarded as plausible but avoided due to nonidentification, a problem we sidestep by deriving bounds instead of point estimates. In this way, we offer a conceptual framework to improve on the Duncan\textendash Davis bound, derived more than 65 years ago. To study the effectiveness of our approach, we collect and analyze 8,430  2\texttimes 22\textbackslash times 2  EI datasets with known ground truth from several sources\textemdash thus bringing considerably more data to bear on the problem than the existing dozen or so datasets available in the literature for evaluating EI estimators. For the 88\% of real data sets in our collection that fit a proposed rule, our approach reduces the width of the Duncan\textendash Davis bound, on average, by about 44\%, while still capturing the true district-level parameter about 99\% of the time. The remaining 12\% revert to the Duncan\textendash Davis bound.},
  file = {/home/aleksandar/Dropbox/Zotero/Jiang et al/Jiang et al_2020_Ecological Regression with Partial Identification.pdf;/home/aleksandar/Zotero/storage/2U9ZID5X/236E4CB7B148E9FB7C92D539C68DA0BA.html},
  journal = {Political Analysis},
  language = {en}
}

@article{jiangGeneratingTrustedGraphs2014,
  title = {Generating Trusted Graphs for Trust Evaluation in Online Social Networks},
  author = {Jiang, Wenjun and Wang, G. and Wu, J.},
  year = {2014},
  doi = {10.1016/j.future.2012.06.010},
  abstract = {We propose a novel trust framework to address the issue of ''Can Alice trust Bob on a service?'' in large online social networks (OSNs). Many models have