Social, Cultural, and Behavioral Modeling: 13th International Conference, SBP-BRiMS 2020, Washington, DC, USA, October 18–21, 2020, Proceedings
暂无分享,去创建一个
Muhammad Hussain | Robert Thomson | Muhammad Nihal Hussain | Halil Bisgin | Christopher L. Dancy | Ayaz Hyder | Christopher Dancy | A. Hyder | R. Thomson | Halil Bisgin
[1] Lu Yang,et al. Getting Away from Numbers: Using Qualitative Observation for Agent-Based Modeling , 2008, Adv. Complex Syst..
[2] Alice F. Healy,et al. Comparison of Instance and Strategy Models in ACT-R , 2009 .
[3] S. Spina,et al. Role of Emoticons as Structural Markers in Twitter Interactions , 2018, Discourse Processes.
[4] Vincent A. Traag,et al. From Louvain to Leiden: guaranteeing well-connected communities , 2018, Scientific Reports.
[5] Marc Wiedermann,et al. Zealotry effects on opinion dynamics in the adaptive voter model. , 2016, Physical review. E.
[6] Kathleen M. Carley,et al. Modularity-Impact: a Signed Group Centrality Measure for Complex Networks , 2020 .
[7] Nicolas Ducheneaut,et al. Massively Multiplayer Online Games as Living Laboratories: Opportunities and Pitfalls , 2010, Online Worlds: Convergence of the Real and the Virtual.
[8] Lu Zhang,et al. A Causal Framework for Discovering and Removing Direct and Indirect Discrimination , 2016, IJCAI.
[9] Guillermo Fernández Escobar. Design and Implementation of an Agent-based Crowd Simulation Model for Evacuation of University Buildings Using Python , 2017 .
[10] Mallory C. Stites,et al. Online Games for Studying Human Behavior , 2019, Social-Behavioral Modeling for Complex Systems.
[11] Bruno Requião da Cunha,et al. Performance of attack strategies on modular networks , 2016, J. Complex Networks.
[12] N. Christakis,et al. The Spread of Obesity in a Large Social Network Over 32 Years , 2007, The New England journal of medicine.
[13] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[14] F AndersenDavid,et al. A behavioral theory of insider-threat risks , 2008 .
[15] R. Baumeister,et al. The nature and function of self-esteem: Sociometer theory , 2000 .
[16] Wang Yi. An Intelligent Differential Game on Air Combat Decision , 2003 .
[17] Asuman E. Ozdaglar,et al. Spread of (Mis)Information in Social Networks , 2009, Games Econ. Behav..
[18] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[19] Philip S. Yu,et al. Heterogeneous Information Network Embedding for Recommendation , 2017, IEEE Transactions on Knowledge and Data Engineering.
[20] Mark R. Leary,et al. Interpersonal Functions of the Self-Esteem Motive , 1995 .
[21] Michael J. Paul,et al. National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic , 2013, PloS one.
[22] M. Newman,et al. Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[23] Simon Hegelich,et al. Are Social Bots on Twitter Political Actors? Empirical Evidence from a Ukrainian Social Botnet , 2016, ICWSM.
[24] T. Havens,et al. Modularity maximization using completely positive programming , 2017 .
[25] Xintao Wu,et al. Fairness through Equality of Effort , 2019, WWW.
[26] James D. Wright. International Encyclopedia of the Social & Behavioral Sciences : Volume 8 Ed. 2 , 2015 .
[27] Eric Gilbert,et al. Online Harassment and Content Moderation: The Case of Blocklists , 2018, ACM Trans. Comput. Hum. Interact..
[28] Filippo Menczer,et al. Online Human-Bot Interactions: Detection, Estimation, and Characterization , 2017, ICWSM.
[29] Hanne Haaland,et al. Citizens as Actors in the Development Field: The Case of an Accidental Aid-Agent’s Activities in Aid-Land , 2017 .
[30] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[31] Ali A. Ghorbani,et al. An overview of online fake news: Characterization, detection, and discussion , 2020, Inf. Process. Manag..
[32] Alexandru Iosup,et al. Toxicity detection in multiplayer online games , 2015, 2015 International Workshop on Network and Systems Support for Games (NetGames).
[33] Timothy W. Finin,et al. Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies , 2008, WebKDD 2008.
[34] Gianluca Stringhini,et al. What is Gab: A Bastion of Free Speech or an Alt-Right Echo Chamber , 2018, WWW.
[35] John H. Miller,et al. Active Nonlinear Tests (Ants) of Complex Simulation Models , 1998 .
[36] Frank W. Bond,et al. The work‐related acceptance and action questionnaire: Initial psychometric findings and their implications for measuring psychological flexibility in specific contexts , 2013 .
[37] M. Serrano,et al. The interconnected wealth of nations: Shock propagation on global trade-investment multiplex networks , 2019, Scientific Reports.
[38] Sandra Silva,et al. Innovation and Employment: An Agent-Based Approach , 2019, J. Artif. Soc. Soc. Simul..
[39] Michael I. Jordan,et al. Hierarchical Beta Processes and the Indian Buffet Process , 2007, AISTATS.
[40] Rianne Conijn,et al. Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS , 2017, IEEE Transactions on Learning Technologies.
[41] Davide Castelvecchi,et al. Can we open the black box of AI? , 2016, Nature.
[42] Friederike Wall,et al. Agent-based modeling in managerial science: an illustrative survey and study , 2014, Review of Managerial Science.
[43] Margaret E. Roberts,et al. How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument , 2017, American Political Science Review.
[44] Andrew T. Duchowski,et al. Gaze Transition Entropy , 2015, TAP.
[45] Leland McInnes,et al. hdbscan: Hierarchical density based clustering , 2017, J. Open Source Softw..
[46] N. Yee,et al. From Tree House to Barracks , 2006, Games Cult..
[47] Lawrence A. Hosman. The Evaluative Consequences of Hedges, Hesitations, and Intensifiers: Powerful and Powerless Speech Styles. , 1989 .
[48] A. Martens,et al. Two Decades of Terror Management Theory: A Meta-Analysis of Mortality Salience Research , 2010, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.
[49] David A. Broniatowski,et al. Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate , 2018, American journal of public health.
[50] Jiajia Wang,et al. SIR rumor spreading model in the new media age , 2013 .
[51] Steven L. Lytinen,et al. Agent-based Simulation Platforms: Review and Development Recommendations , 2006, Simul..
[52] Radha Poovendran,et al. Deceiving Google's Perspective API Built for Detecting Toxic Comments , 2017, ArXiv.
[53] Cleotilde Gonzalez,et al. Instance‐based Learning: A General Model of Repeated Binary Choice , 2012 .
[54] Ingmar Weber,et al. Automated Hate Speech Detection and the Problem of Offensive Language , 2017, ICWSM.
[55] Giovanni Comarela,et al. Analyzing the Dynamic Evolution of Hashtags on Twitter: a Language-Based Approach , 2011 .
[56] Ronald D. Rogge,et al. Disentangling Components of Flexibility via the Hexaflex Model: Development and Validation of the Multidimensional Psychological Flexibility Inventory (MPFI) , 2018, Assessment.
[57] John Suler,et al. The Online Disinhibition Effect , 2004, Cyberpsychology Behav. Soc. Netw..
[58] Tama Leaver,et al. Instagrammatics and digital methods: studying visual social media, from selfies and GIFs to memes and emoji , 2016, Communication Research and Practice.
[59] Peter Cappelli,et al. Artificial Intelligence in Human Resources Management: Challenges and a Path Forward , 2019, California Management Review.
[60] Nicholas Worby,et al. Twitter, Gab, and Racism: The Case of the Soros Myth , 2018, SMSociety.
[61] R. Larsen,et al. The Satisfaction with Life Scale , 1985, Journal of personality assessment.
[62] Robert N. Stern,et al. Informal Networks and Organizational Crises: An Experimental Simulation , 1988 .
[63] Mark Dredze,et al. Effective vaccine communication during the disneyland measles outbreak. , 2016, Vaccine.
[64] Fred Rothganger,et al. Group Formation Theory at Multiple Scales , 2020, SBP-BRiMS.
[65] Kathleen M. Carley,et al. Community-based time segmentation from network snapshots , 2019, Appl. Netw. Sci..
[66] Martin Kulldorff,et al. Geographic Clusters in Underimmunization and Vaccine Refusal , 2015, Pediatrics.
[67] Daniel A. Salmon,et al. Nonmedical Vaccine Exemptions and Pertussis in California, 2010 , 2013, Pediatrics.
[68] Juan Carlos González-Avella,et al. Fast Fragmentation of Networks Using Module-Based Attacks , 2015, PloS one.
[69] Petra Kaufmann,et al. Experimental And Quasi Experimental Designs For Research , 2016 .
[70] A. Davidescu,et al. Key Factors of Health Employee Motivation in Jordan. Evidence from Dual-Factor Theory Based on Structural Equation Models , 2017 .
[71] Nitesh V. Chawla,et al. metapath2vec: Scalable Representation Learning for Heterogeneous Networks , 2017, KDD.
[72] A. Crooks,et al. Examining Emergent Communities and Social Bots Within the Polarized Online Vaccination Debate in Twitter , 2019, Social Media + Society.
[73] Iyad Rahwan,et al. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm , 2017, EMNLP.
[74] James B. Avey,et al. POSITIVE PSYCHOLOGICAL CAPITAL: MEASUREMENT AND RELATIONSHIP WITH PERFORMANCE AND SATISFACTION , 2007 .
[75] Mai ElSherief,et al. Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media , 2018, ICWSM.
[76] Silvia Chiappa,et al. Path-Specific Counterfactual Fairness , 2018, AAAI.
[77] D. Rubin. Causal Inference Using Potential Outcomes , 2005 .
[78] Robert E. Tarjan,et al. Depth-First Search and Linear Graph Algorithms , 1972, SIAM J. Comput..
[79] Daniel J Buysse,et al. The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research , 1989, Psychiatry Research.
[80] Wei Chen,et al. Efficient influence maximization in social networks , 2009, KDD.
[81] Cleotilde González,et al. Refuting Data Aggregation Arguments and How the Instance-Based Learning Model Stands Criticism: A Reply to Hills and Hertwig (2012). , 2012 .
[82] Kathleen M. Carley,et al. Detecting Disruption: Identifying Structural Changes in the Verkhovna Rada , 2019, SBP-BRiMS.
[83] George Gessert,et al. This Changes Everything: Capitalism vs. the Climate , 2015, Leonardo.
[84] Jose J. Padilla,et al. Model Co-creation from a Modeler's Perspective: Lessons Learned from the Collaboration Between Ethnographers and Modelers , 2018, SBP-BRiMS.
[85] D. Mcclelland. Power: The Inner Experience , 1975 .
[86] J. Probst,et al. Registered nurse retention strategies in nursing homes: A two-factor perspective , 2012, Health care management review.
[87] J. S. Adams,et al. TOWARD AN UNDERSTANDING OF INEQUITY. , 1963, Journal of abnormal psychology.
[88] Alexander V. Mantzaris,et al. Polarization in social media assists influencers to become more influential: analysis and two inoculation strategies , 2019, Scientific Reports.
[89] C. Macken,et al. Modeling targeted layered containment of an influenza pandemic in the United States , 2008, Proceedings of the National Academy of Sciences.
[90] Sheldon Cohen,et al. PERCEIVED STRESS SCALE , 2014 .
[91] Josh Compton,et al. Prophylactic Versus Therapeutic Inoculation Treatments for Resistance to Influence , 2020, Communication Theory.
[92] Corrigendum: Information Search in Decisions From Experience: Do Our Patterns of Sampling Foreshadow Our Decisions? , 2017, Psychological science.
[93] A. Nizam,et al. Containing Pandemic Influenza at the Source , 2005, Science.
[94] M. Kilbridge. Turnover, Absence, and Transfer Rates as Indicators of Employee Dissatisfaction with Repetitive Work , 1961 .
[95] N. Christakis,et al. Alone in the Crowd: The Structure and Spread of Loneliness in a Large Social Network , 2009 .
[96] Antje Strauss,et al. Environment And Statecraft The Strategy Of Environmental Treaty Making , 2016 .
[97] Masahiro Kimura,et al. Super mediator - A new centrality measure of node importance for information diffusion over social network , 2016, Inf. Sci..
[98] P. Hernon. Disinformation and misinformation through the internet: Findings of an exploratory study , 1995 .
[99] Maria Nika. Synthedemic modelling and prediction of Internet-based phenomena , 2014 .
[100] Sidney K. D'Mello,et al. Automatic Gaze-Based Detection of Mind Wandering during Narrative Film Comprehension. , 2016, EDM 2016.
[101] V. Latora,et al. Harmony in the Small-World , 2000, cond-mat/0008357.
[102] Varun Dutt,et al. Instance-based learning: integrating sampling and repeated decisions from experience. , 2011, Psychological review.
[103] Julia Kasmire,et al. Andrew Crooks, Nicolas Malleson, Ed Manley and Alison Heppenstall. Agent-based modelling and geographical information systems—A practical primer , 2020, Environment and Planning B Urban Analytics and City Science.
[104] N. Christakis,et al. Social Network Sensors for Early Detection of Contagious Outbreaks , 2010, PloS one.
[105] Adam Tauman Kalai,et al. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings , 2016, NIPS.
[106] Devin Caughey,et al. Dynamic Estimation of Latent Opinion Using a Hierarchical Group-Level IRT Model , 2015, Political Analysis.
[107] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[108] D. Watson,et al. Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.
[109] S. Kinsbergen. Behind the pictures: Understanding private development initiatives , 2014 .
[110] B. Bonevski,et al. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups , 2014, BMC Medical Research Methodology.
[111] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[112] Rocco Carzo,et al. Effects of Flat and Tall Organization Structure. , 1969 .
[113] Peter Henderson,et al. An Introduction to Deep Reinforcement Learning , 2018, Found. Trends Mach. Learn..
[114] Marsili,et al. Nonequilibrium phase transition in a model for social influence , 2000, Physical review letters.
[115] Markus Falkhausen,et al. Calculation of distance measures between hidden Markov models , 1995, EUROSPEECH.
[116] Kathleen M. Carley,et al. Characterizing Bot Networks on Twitter: An Empirical Analysis of Contentious Issues in the Asia-Pacific , 2019, SBP-BRiMS.
[117] John Nerbonne,et al. The Secret Life of Pronouns. What Our Words Say About Us , 2014, Lit. Linguistic Comput..
[118] R. Hertwig,et al. The description–experience gap in risky choice , 2009, Trends in Cognitive Sciences.
[119] Jon M. Kleinberg,et al. Group formation in large social networks: membership, growth, and evolution , 2006, KDD '06.
[120] Jure Leskovec,et al. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change , 2016, ACL.
[121] Michael S. Bernstein,et al. Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions , 2017, CSCW.
[122] A. Mulac,et al. Men's and Women's Use of Intensifiers and Hedges in Problem-Solving Interaction: Molar and Molecular Analyses , 1995 .
[123] Dirk Helbing,et al. Self-Organization and Emergence in Social Systems: Modeling the Coevolution of Social Environments and Cooperative Behavior , 2011 .
[124] Anthony Stefanidis,et al. Bot stamina: examining the influence and staying power of bots in online social networks , 2019, Applied Network Science.
[125] Sebastian Stier,et al. How to Manipulate Social Media: Analyzing Political Astroturfing Using Ground Truth Data from South Korea , 2017, ICWSM.
[126] Nathan M. VanHoudnos,et al. The Critical Role of Positive Incentives for Reducing Insider Threats , 2016 .
[127] Kathleen M. Carley,et al. Inadvertent leaks: exploration via agent-based dynamic network simulation , 2016, Comput. Math. Organ. Theory.
[128] Dong Liu,et al. The Dark Side of Leadership: A Three-Level Investigation of the Cascading Effect of Abusive Supervision on Employee Creativity , 2012 .
[129] Christos Faloutsos,et al. Patterns of Cascading Behavior in Large Blog Graphs , 2007, SDM.
[130] Ware J.E.Jr.,et al. THE MOS 36- ITEM SHORT FORM HEALTH SURVEY (SF- 36) CONCEPTUAL FRAMEWORK AND ITEM SELECTION , 1992 .
[131] Mohammad Rajabi,et al. An Ordinal Game Theory Approach to the Analysis and Selection of Partners in Public–Private Partnership Projects , 2016, J. Optim. Theory Appl..
[132] Preslav Nakov,et al. SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval) , 2019, *SEMEVAL.
[133] William G. Kennedy,et al. Modelling Human Behaviour in Agent-Based Models , 2012 .
[134] Xindong Wu,et al. An Epidemic Model for News Spreading on Twitter , 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.
[135] Matthew Richardson,et al. Mining knowledge-sharing sites for viral marketing , 2002, KDD.
[136] Stephen P. Boyd,et al. Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data , 2017, KDD.
[137] Michael I. Jordan,et al. JOINT MODELING OF MULTIPLE TIME SERIES VIA THE BETA PROCESS WITH APPLICATION TO MOTION CAPTURE SEGMENTATION , 2013, 1308.4747.
[138] David Masad,et al. Mesa: An Agent-Based Modeling Framework , 2015, SciPy.
[139] Kathleen M. Carley,et al. You Are Known by Your Friends: Leveraging Network Metrics for Bot Detection in Twitter , 2020 .
[140] J. Pennebaker,et al. Psychological aspects of natural language. use: our words, our selves. , 2003, Annual review of psychology.
[141] Kathleen M. Carley,et al. Social Cybersecurity: An Emerging National Security Requirement , 2019 .
[142] Gianluca Stringhini,et al. Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web , 2018, WWW.
[143] Hee-Woong Kim,et al. Why people post benevolent and malicious comments online , 2015, Commun. ACM.
[144] Ash Evans. Stance and identity in Twitter hashtags , 2016 .
[145] Ted Nordhaus,et al. The Death of Environmentalism Global warming politics in a post-environmental world , 2005 .
[146] Virgílio A. F. Almeida,et al. Characterizing and Detecting Hateful Users on Twitter , 2018, ICWSM.
[147] Minzhang Zheng,et al. The online competition between pro- and anti-vaccination views , 2020, Nature.
[148] Kristina Lerman,et al. Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization , 2019, ArXiv.
[149] M. Innes,et al. Disinformation and digital influencing after terrorism: spoofing, truthing and social proofing , 2019, Contemporary Social Science.
[150] Lei Yang,et al. We know what @you #tag: does the dual role affect hashtag adoption? , 2012, WWW.
[151] Achla Marathe,et al. Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination , 2020, AAMAS.
[152] Nitin Agarwal,et al. Modeling blogger influence in a community , 2011, Social Network Analysis and Mining.
[153] Nicholas Beauchamp,et al. Predicting and Interpolating State‐Level Polls Using Twitter Textual Data , 2017 .
[154] Jing Zhou,et al. Hate Speech Detection with Comment Embeddings , 2015, WWW.
[155] V. Dutt,et al. Influence of an Intermediate Option on the Description-Experience Gap and Information Search , 2018, Front. Psychol..
[156] Sean Luke,et al. GeoMason: Geospatial Support for MASON , 2010 .
[157] Kate Starbird,et al. Examining the Alternative Media Ecosystem Through the Production of Alternative Narratives of Mass Shooting Events on Twitter , 2017, ICWSM.
[158] William J. McGuire,et al. The Effectiveness of Supportive and Refutational Defenses in Immunizing and Restoring Beliefs Against Persuasion , 1961 .
[159] Kathleen M. Carley,et al. Beaten Up on Twitter? Exploring Fake News and Satirical Responses During the Black Panther Movie Event , 2018, SBP-BRiMS.
[160] Éva Tardos,et al. Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..
[161] H. Dawid,et al. The Eurace@Unibi Model: An Agent-Based Macroeconomic Model for Economic Policy Analysis , 2012 .
[162] Joel R. Tetreault,et al. Abusive Language Detection in Online User Content , 2016, WWW.
[163] Mingzhe Wang,et al. LINE: Large-scale Information Network Embedding , 2015, WWW.
[164] Michael A. Hogg,et al. Why Do People Join Groups? Three Motivational Accounts from Social Psychology , 2008 .
[165] Amarda Shehu,et al. User Behavior Modelling for Fake Information Mitigation on Social Web , 2019, SBP-BRiMS.
[166] Jihye Choi,et al. Web-based infectious disease surveillance systems and public health perspectives: a systematic review , 2016, BMC Public Health.
[167] N. Christakis,et al. Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study , 2008, BMJ : British Medical Journal.
[168] Allison Schnable. New American Relief and Development Organizations: Voluntarizing Global Aid , 2015 .
[169] Joseph W. Houpt,et al. Unsupervised parsing of gaze data with a beta-process vector auto-regressive hidden Markov model , 2017, Behavior Research Methods.
[170] Kenneth W. Comer. Who Goes First? An Examination of the Impact of Activation on Outcome Behavior in Agent-based Models , 2014 .
[171] Gérard Govaert,et al. An EM algorithm for the block mixture model , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[172] D. Lazer,et al. Fake news on Twitter during the 2016 U.S. presidential election , 2019, Science.
[173] Chao Li,et al. Identification of influential spreaders based on classified neighbors in real-world complex networks , 2018, Appl. Math. Comput..
[174] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[175] David A. Broniatowski,et al. Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity , 2017, Syst. Eng..
[176] Lenka Lhotská,et al. Morphology analysis of physiological signals using hidden Markov models , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[177] A. Getis. The Analysis of Spatial Association by Use of Distance Statistics , 2010 .
[178] M. Macy,et al. Complex Contagions and the Weakness of Long Ties1 , 2007, American Journal of Sociology.
[179] Christopher M. Danforth,et al. Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll , 2015, PloS one.
[180] Padmini Srinivasan,et al. Style Matters! Investigating Linguistic Style in Online Communities , 2020, ICWSM.
[181] Joshua M. Epstein,et al. Growing Artificial Societies: Social Science from the Bottom Up , 1996 .
[182] Sean Luke,et al. MASON : A Multi-Agent Simulation Environment , 2008 .
[183] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[184] Nitin Agarwal,et al. A Quantitative Portrait of Legislative Change in Ukraine , 2019, SBP-BRiMS.
[185] Adrian Rauchfleisch,et al. Digital astroturfing in politics: Definition, typology, and countermeasures , 2018, Studies in Communication Sciences.
[186] Philip S. Yu,et al. Identifying the influential bloggers in a community , 2008, WSDM '08.
[187] Nitin Agarwal,et al. Identifying Toxicity Within YouTube Video Comment , 2019, SBP-BRiMS.
[188] Andreas Tolk,et al. Reference modelling in support of M&S—foundations and applications , 2013, J. Simulation.
[189] Paul J. Sticha,et al. Using dynamic models to support inferences of insider threat risk , 2016, Comput. Math. Organ. Theory.
[190] Thomas J. Holt,et al. Examining Ideologically Motivated Cyberattacks Performed by Far-Left Groups , 2019, Terrorism and Political Violence.
[191] Tiago P. Peixoto,et al. A network approach to topic models , 2017, Science Advances.
[192] Kathleen M. Carley,et al. Bot-hunter: A Tiered Approach to Detecting & Characterizing Automated Activity on Twitter , 2018 .
[193] N. Christakis,et al. Social network determinants of depression , 2010, Molecular Psychiatry.
[194] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[195] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[196] Matthew Richardson,et al. Mining the network value of customers , 2001, KDD '01.
[197] Kristina Lerman,et al. Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction , 2018, 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI).
[198] V. Wallis. Facing the Anthropocene: Fossil Capitalism and the Crisis of the Earth System , 2016 .
[199] Birgit Müller,et al. A standard protocol for describing individual-based and agent-based models , 2006 .
[200] Cleotilde Gonzalez,et al. Instance-based learning in dynamic decision making , 2003, Cogn. Sci..
[201] Beom Jun Kim,et al. Growing scale-free networks with tunable clustering. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[202] Aravind Srinivasan,et al. Modelling disease outbreaks in realistic urban social networks , 2004, Nature.
[203] M. D. Ardema,et al. An approach to three-dimensional aircraft pursuit-evasion , 1987 .
[204] Yulia Tsvetkov,et al. A Computational Analysis of Polarization on Indian and Pakistani Social Media , 2020, SocInfo.
[205] Navid Dianati,et al. Unwinding the "hairball" graph: a pruning algorithm for weighted complex networks , 2015, Physical review. E.
[206] Joshua Goldstein,et al. Knowledge Sharing in a Dynamic, Multi-level Organization: Exploring Cascade and Threshold Models of Diffusion , 2017 .
[207] Alfred McClung Lee,et al. The fine art of propaganda , 1972 .
[208] Yuchen Li,et al. Influence Maximization on Social Graphs: A Survey , 2018, IEEE Transactions on Knowledge and Data Engineering.
[209] Kathleen M. Carley,et al. Bot Conversations are Different: Leveraging Network Metrics for Bot Detection in Twitter , 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[210] Oded Nov,et al. The [Wikipedia] World is not flat: on the Organizational Structure of Online production Communities , 2014, ECIS.
[211] T. Dummer,et al. Health geography: supporting public health policy and planning , 2008, Canadian Medical Association Journal.
[212] Maggie M. Cheng,et al. A critical review of algorithms in HRM: Definition, theory, and practice , 2019 .
[213] M. Hogg,et al. Interpersonal attraction, social identification and psychological group formation , 1985 .
[214] Kathleen M. Carley,et al. Cyber-FIT: An Agent-Based Modelling Approach to Simulating Cyber Warfare , 2017, SBP-BRiMS.
[215] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[216] Emilio Ferrara,et al. Social Bots Distort the 2016 US Presidential Election Online Discussion , 2016, First Monday.
[217] Ronald Iammartino. An Agent-Based Model for Predicting Turnover in The Science, Technology, Engineering, and Mathematics (STEM) Workforce , 2016 .
[218] W. Bennett,et al. Social Media and the Organization of Collective Action: Using Twitter to Explore the Ecologies of Two Climate Change Protests , 2011 .
[219] Steve Reeves,et al. Atomic Components , 2004, ICTAC.
[220] Chen-Kun Tsung,et al. A Spectral Clustering Approach Based on Modularity Maximization for Community Detection Problem , 2016, 2016 International Computer Symposium (ICS).
[221] M. Batty. Generative social science: Studies in agent-based computational modeling , 2008 .
[222] Sebastian Funk,et al. Word usage mirrors community structure in the online social network Twitter , 2013, EPJ Data Science.
[223] Nitin Agarwal,et al. Analyzing Disinformation and Crowd Manipulation Tactics on YouTube , 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[224] Andrew B. Kahng,et al. New spectral methods for ratio cut partitioning and clustering , 1991, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[225] Aron Culotta,et al. Predicting Twitter User Demographics using Distant Supervision from Website Traffic Data , 2016, J. Artif. Intell. Res..
[226] Nigel Bassett-Jones,et al. Does Herzberg's motivation theory have staying power? , 2005 .
[227] Romina Martin,et al. Describing human decisions in agent-based models - ODD + D, an extension of the ODD protocol , 2013, Environ. Model. Softw..
[228] M. A. Muñoz,et al. Nonlinear q-voter model. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[229] Joy Kuri,et al. Using Node Centrality and Optimal Control to Maximize Information Diffusion in Social Networks , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[230] Nitin Agarwal,et al. Understanding Information Operations using YouTubeTracker , 2019, WI.
[231] Richard A. Harshman,et al. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .
[232] A. Gibbons,et al. Pronouns in Literature , 2018 .
[233] Pierre Ailliot,et al. Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature , 2017, Comput. Stat. Data Anal..
[234] James N. Butcher,et al. Assessment of Anger: The State-Trait Anger Scale , 2013 .
[235] R. Balicer. Modeling infectious diseases dissemination through online role-playing games. , 2007, Epidemiology.
[236] Varun Dutt,et al. Modeling decisions from experience: How models with a set of parameters for aggregate choices explain individual choices , 2017 .
[237] L. Fuller,et al. I Hear You Knocking But You Can't Come In , 1982 .
[238] Xiaolong Wang,et al. Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach , 2011, CIKM '11.
[239] Stephen P. Borgatti,et al. Centrality and network flow , 2005, Soc. Networks.
[240] J. Greenberg,et al. The Causes and Consequences of a Need for Self-Esteem: A Terror Management Theory , 1986 .
[241] Charles M. Macal,et al. Lessons from a comprehensive validation of an agent based-model: The experience of the Pampas Model of Argentinean agricultural systems , 2014 .
[242] M. Diouf. Tolerance, democracy, and Sufis in Senegal , 2013 .
[243] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[244] Andrew Crooks,et al. Comparison of Emoji Use in Names, Profiles, and Tweets , 2020, 2020 IEEE 14th International Conference on Semantic Computing (ICSC).
[245] Scott J. Shackelford. From Nuclear War to Net War: Analogizing Cyber Attacks in International Law , 2009 .
[246] Yannick Rochat,et al. Closeness Centrality Extended to Unconnected Graphs: the Harmonic Centrality Index , 2009 .
[247] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[248] Sinan Aral,et al. Exercise contagion in a global social network , 2017, Nature Communications.
[249] M. Diouf. The French Colonial Policy of Assimilation and the Civility of the Originaires of the Four Communes (Senegal): A Nineteenth Century Globalization Project , 1998 .
[250] John H. Miller,et al. Complex adaptive systems - an introduction to computational models of social life , 2009, Princeton studies in complexity.
[251] J. Pearl. Causality: Models, Reasoning and Inference , 2000 .
[252] #Vaccination: Identifying Influencers in the Vaccination Discussion on Twitter through Social Network Visualisation , 2017 .
[253] Mark Dredze,et al. Examining Patterns of Influenza Vaccination in Social Media , 2017, AAAI Workshops.
[254] Siddique Latif,et al. Exploring Media Bias and Toxicity in South Asian Political Discourse , 2018, 2018 12th International Conference on Open Source Systems and Technologies (ICOSST).
[255] Ralph Hertwig,et al. The psychology and rationality of decisions from experience , 2011, Synthese.
[256] B. Loader,et al. What the hashtag? A content analysis of Canadian politics on Twitter TAMARA A . SMALL , 2012 .
[257] P. Phillips,et al. Vector autoregression and causality: a theoretical overview and simulation study , 1994 .
[258] Thomas D. Pike. Integrating Computational Tools into Foreign Policy: Introducing Mesa Packages with a Coalition Algorithm , 2018 .
[259] J. Murabito,et al. The Spread of Alcohol Consumption Behavior in a Large Social Network , 2010, Annals of Internal Medicine.
[260] Leonidas Oikonomakis. Solidarity in Transition: The Case of Greece , 2018 .
[261] Mark Coulson,et al. Virtually Real: A Psychological Perspective on Massively Multiplayer Online Games , 2010 .
[262] Vsevolod Peysakhovich,et al. Pilot Flying and Pilot Monitoring’s Aircraft State Awareness During Go-Around Execution in Aviation: A Behavioral and Eye Tracking Study , 2017 .
[263] Ruerd Ruben,et al. Understanding the Sustainability of Private Development Initiatives: What Kind of Difference Do They Make? , 2017 .
[264] Matt J. Kusner,et al. Counterfactual Fairness , 2017, NIPS.
[265] Rasmus Bro,et al. Nonnegative PARAFAC2: A Flexible Coupling Approach , 2018, LVA/ICA.
[266] Michael A. Casey,et al. Locality-Sensitive Hashing for Finding Nearest Neighbors , 2008 .
[267] Xintao Wu,et al. Counterfactual Fairness: Unidentification, Bound and Algorithm , 2019, IJCAI.
[268] N. Omar,et al. An Empirical Study on Job Satisfaction, Job‐Related Stress and Intention to Leave Among Audit Staff in Public Accounting Firms in Melaka , 2007 .
[269] Animesh Mukherjee,et al. Spread of Hate Speech in Online Social Media , 2018, WebSci.
[270] Beom Jun Kim,et al. Attack vulnerability of complex networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[271] Bruce Edmonds,et al. A Context- and Scope-Sensitive Analysis of Narrative Data to Aid the Specification of Agent Behaviour , 2015, J. Artif. Soc. Soc. Simul..
[272] R. R. Haccoun,et al. Measuring core dimensions of organizational culture : A review of research and development of a new instrument , 2002 .
[273] A. Stein. Why Nations Cooperate: Circumstance and Choice In International Relations , 1990 .
[274] Mark R. Leary,et al. Sociometer theory and the pursuit of relational value: Getting to the root of self-esteem , 2005 .
[275] Harsh Jhamtani,et al. A Sociolinguistic Study of Online Echo Chambers on Twitter , 2019 .
[276] S. Fortunato,et al. Statistical physics of social dynamics , 2007, 0710.3256.
[277] Kathleen M. Carley,et al. ORA User's Guide 2011 , 2011 .
[278] Keisuke Sato,et al. An enhanced MILP-based branch-and-price approach to modularity density maximization on graphs , 2018, Comput. Oper. Res..
[279] T. Judge,et al. Can "good" stressors spark "bad" behaviors? The mediating role of emotions in links of challenge and hindrance stressors with citizenship and counterproductive behaviors. , 2009, The Journal of applied psychology.
[280] Nitin Agarwal,et al. Focal structures analysis: identifying influential sets of individuals in a social network , 2016, Social Network Analysis and Mining.
[281] D. Cummings,et al. Strategies for mitigating an influenza pandemic , 2006, Nature.
[282] Joshua D. Clinton,et al. The Statistical Analysis of Roll Call Data , 2004, American Political Science Review.
[283] Aric Hagberg,et al. Exploring Network Structure, Dynamics, and Function using NetworkX , 2008, Proceedings of the Python in Science Conference.
[284] Wei Zhang,et al. STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream , 2015, 2015 IEEE 31st International Conference on Data Engineering.
[285] Kathleen M. Carley. ORA: A Toolkit for Dynamic Network Analysis and Visualization , 2014, Encyclopedia of Social Network Analysis and Mining.
[286] Jina Lee,et al. Predicting Social Ties in Massively Multiplayer Online Games , 2014, SBP.
[287] H. Simon. Models of Bounded Rationality: Empirically Grounded Economic Reason , 1997 .
[288] Lora Aroyo,et al. Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions , 2019, WWW.
[289] John A. Sokolowski,et al. An agent-based approach to modeling insider threat , 2015, Comput. Math. Organ. Theory.
[290] Bryan Bruns,et al. Escaping Prisoner's Dilemmas: From Discord to Harmony in the Landscape of 2x2 Games , 2012, ArXiv.
[291] Dhananjay K. Gode,et al. Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality , 1993, Journal of Political Economy.
[292] Ryan Wesslen,et al. Shouting into the Void: A Database of the Alternative Social Media Platform Gab , 2019, ICWSM.
[293] G Gigerenzer,et al. Reasoning the fast and frugal way: models of bounded rationality. , 1996, Psychological review.
[294] Christos Faloutsos,et al. Cascading Behavior in Large Blog Graphs , 2007 .
[295] Hanghang Tong,et al. PC-Fairness: A Unified Framework for Measuring Causality-based Fairness , 2019, NeurIPS.
[296] Jure Leskovec,et al. Modeling Individual Cyclic Variation in Human Behavior , 2017, WWW.
[297] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[298] Stefan Evert,et al. Japan's 2014 General Election: Political Bots, Right-Wing Internet Activism, and Prime Minister Shinzō Abe's Hidden Nationalist Agenda , 2017, Big Data.
[299] J Lessler,et al. Seven challenges in modeling vaccine preventable diseases. , 2015, Epidemics.
[300] Bo An,et al. An Agent Reinforcement Learning Model Based on Neural Networks , 2007, LSMS.
[301] Gonçalo Neto,et al. Minimax Value Iterarion Applied to Robotic Soccer , 2005 .
[302] Xiaodong Li,et al. Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization' , 2013 .
[303] J. Gulla,et al. Fake news detection : Network data from social media used to predict fakes , 2017 .
[304] Tom Wilson,et al. Cross-Platform Disinformation Campaigns: Lessons Learned and Next Steps , 2020, Harvard Kennedy School Misinformation Review.
[305] Ullrich K. H. Ecker,et al. Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence , 2017, PloS one.
[306] Thomas Zerback,et al. The disconcerting potential of online disinformation: Persuasive effects of astroturfing comments and three strategies for inoculation against them , 2020, New Media Soc..
[307] Matt J. Kusner,et al. When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness , 2017, NIPS.
[308] U. Renker. [Motivation for work]. , 1975, Zeitschrift fur die gesamte Hygiene und ihre Grenzgebiete.
[309] Naren Ramakrishnan,et al. Epidemiological modeling of news and rumors on Twitter , 2013, SNAKDD '13.
[310] Alvin E. Roth,et al. A choice prediction competition: Choices from experience and from description , 2010 .
[311] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[312] P. Matthews. Why Are People Skeptical about Climate Change? Some Insights from Blog Comments , 2015, Climate Change Communication and the Internet.
[313] N. Hens,et al. Dynamic Epidemiological Models for Dengue Transmission: A Systematic Review of Structural Approaches , 2012, PloS one.
[314] Jay Ulfelder,et al. Can Structural Conditions Explain the Onset of Nonviolent Uprisings? , 2017 .
[315] Reid McIlroy-Young,et al. From "Welcome New Gabbers" to the Pittsburgh Synagogue Shooting: The Evolution of Gab , 2019, ICWSM.
[316] Angelo J. Kinicki,et al. Toward a Greater Understanding of How Dissatisfaction Drives Employee Turnover , 2001 .
[317] Chen Avin,et al. Identifiability of Path-Specific Effects , 2005, IJCAI.
[318] Filippo Menczer,et al. Hoaxy: A Platform for Tracking Online Misinformation , 2016, WWW.
[319] Nitin Agarwal,et al. Examining Intensive Groups in YouTube Commenter Networks , 2019, SBP-BRiMS.
[320] Andreas Krause,et al. Cost-effective outbreak detection in networks , 2007, KDD '07.
[321] Kathleen M. Carley,et al. Interoperable pipelines for social cyber-security: assessing Twitter information operations during NATO Trident Juncture 2018 , 2020, Comput. Math. Organ. Theory.
[322] Mor Naaman,et al. The impact of network structure on breaking ties in online social networks: unfollowing on twitter , 2011, CHI.
[323] Eric D. Heggestad,et al. Climate and organizational performance in long‐term care facilities: The role of affective commitment , 2018, Journal of Occupational and Organizational Psychology.
[324] Deen Freelon,et al. Assessing the Russian Internet Research Agency’s impact on the political attitudes and behaviors of American Twitter users in late 2017 , 2019, Proceedings of the National Academy of Sciences.
[325] A RossStephen. Survivorship Bias in Performance Studies , 2009 .
[326] Katherine Giuffre. Cultural Production in Networks , 2015 .
[327] R. Alexander Bentley,et al. Internet Research Agency Twitter activity predicted 2016 U.S. election polls , 2019, First Monday.
[328] Gita Reese Sukthankar,et al. Predicting Student Flight Performance with Multimodal Features , 2020, SBP-BRiMS.
[329] W. O. Kermack,et al. A contribution to the mathematical theory of epidemics , 1927 .
[330] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[331] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[332] Christos Faloutsos,et al. Graphs over time: densification laws, shrinking diameters and possible explanations , 2005, KDD '05.
[333] Manuela M. Veloso,et al. A case-based approach for coordinated action selection in robot soccer , 2009, Artif. Intell..
[334] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[335] Michael Armstrong,et al. A Handbook of Human Resource Management Practice , 1999 .
[336] Sille Obelitz Søe. Algorithmic detection of misinformation and disinformation: Gricean perspectives , 2017, J. Documentation.
[337] Wayne T. A. Enanoria,et al. The role of vaccination coverage, individual behaviors, and the public health response in the control of measles epidemics: an agent-based simulation for California , 2015, BMC Public Health.
[338] Herbert S. Lin,et al. On Cyber-Enabled Information/Influence Warfare and Manipulation , 2017 .
[339] David F. Andersen,et al. Preliminary System Dynamics Maps of the Insider Cyber-threat Problem , 2004 .
[340] Bert Huang,et al. Weakly Supervised Cyberbullying Detection Using Co-Trained Ensembles of Embedding Models , 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[341] Andrew D. Martin,et al. Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999 , 2002, Political Analysis.
[342] Robert J. Moore,et al. The life and death of online gaming communities: a look at guilds in world of warcraft , 2007, CHI.
[343] Kagan Tumer,et al. General principles of learning-based multi-agent systems , 1999, AGENTS '99.
[344] Brad Calder,et al. Automated design of finite state machine predictors for customized processors , 2001, ISCA 2001.
[345] M. Innes. Techniques of disinformation: Constructing and communicating “soft facts” after terrorism , 2020, The British journal of sociology.
[346] Douglas C. Sicker,et al. Polarizing Tweets on Climate Change , 2020, SBP-BRiMS.
[347] Carl E. Rasmussen,et al. Factorial Hidden Markov Models , 1997 .
[348] Andrew T. Crooks,et al. Utilizing Python for Agent-Based Modeling: The Mesa Framework , 2020, SBP-BRiMS.
[349] Judea Pearl,et al. What Counterfactuals Can Be Tested , 2007, UAI.
[350] Achla Marathe,et al. Discovery of under immunized spatial clusters using network scan statistics , 2019, BMC Medical Informatics and Decision Making.
[351] Stefan D McCabe. Communicating Sequential Agents: An Analysis of Concurrent Agent Scheduling , 2016 .
[352] O. Aasland,et al. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II. , 1993, Addiction.
[353] Zoubin Ghahramani,et al. Learning from labeled and unlabeled data with label propagation , 2002 .
[354] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[355] Nitin Agarwal,et al. Finding Fake News Key Spreaders in Complex Social Networks by Using Bi-Level Decomposition Optimization Method , 2019, Communications in Computer and Information Science.
[356] Tzu-Shian Han,et al. High-performance HR practices and OCB: a cross-level investigation of a causal path , 2010 .
[357] Elia Bruni,et al. Multimodal Distributional Semantics , 2014, J. Artif. Intell. Res..
[358] Mickaël Causse,et al. The Neuroergonomics of Aircraft Cockpits: The Four Stages of Eye-Tracking Integration to Enhance Flight Safety , 2018 .
[359] Peter A. Beling,et al. Agent-based model construction using inverse reinforcement learning , 2017, 2017 Winter Simulation Conference (WSC).
[360] Tekena Gasper Mark,et al. Understanding Cyber Warfare: Politics, Policy and Strategy By Christopher Whyte and Brian Mazanec. New York: Oxford University Press, 2017. , 2019, Journal of Strategic Security.
[361] Yi Shen,et al. Short communication A measure of centrality based on modularity matrix , 2008 .
[362] Justin Lessler,et al. Reactive vaccination in the presence of disease hotspots , 2015, Proceedings of the Royal Society B: Biological Sciences.
[363] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[364] Ethan Bernstein,et al. Beyond the Holacracy Hype , 2016 .
[365] Alice H. Oh,et al. Sociolinguistic analysis of Twitter in multilingual societies , 2014, HT.
[366] S. Gosling,et al. A very brief measure of the Big-Five personality domains , 2003 .
[367] Mark Dredze,et al. Vaccine opponents' use of Twitter during the 2016 US presidential election: Implications for practice and policy. , 2017, Vaccine.
[368] Fanglin Chen,et al. StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones , 2014, UbiComp.
[369] Sérgio Nunes,et al. A Survey on Automatic Detection of Hate Speech in Text , 2018, ACM Comput. Surv..
[370] Arvind Narayanan,et al. Semantics derived automatically from language corpora contain human-like biases , 2016, Science.
[371] A. Barak,et al. The benign online disinhibition effect: Could situational factors induce self-disclosure and prosocial behaviors? , 2015 .
[372] R Scheines,et al. The TETRAD Project: Constraint Based Aids to Causal Model Specification. , 1998, Multivariate behavioral research.
[373] JungHwan Yang,et al. Political Astroturfing on Twitter: How to Coordinate a Disinformation Campaign , 2020, Political Communication.
[374] B. Weitz. Hosted By , 2003 .
[375] N. Yee. The Psychology of Massively Multi-User Online Role-Playing Games: Motivations, Emotional Investment, Relationships and Problematic Usage , 2005 .
[376] S. van der Linden,et al. The fake news game: actively inoculating against the risk of misinformation , 2019 .
[377] R. Scranton. Learning to Die in the Anthropocene: Reflections on the End of a Civilization , 2015 .
[378] Ying Chen,et al. Detecting Offensive Language in Social Media to Protect Adolescent Online Safety , 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.
[379] Anna Gudmundson,et al. Herzberg’s Two-Factor Theory of Work Motivation Tested Empirically on Seasonal Workers in Hospitality and Tourism , 2009 .
[380] Paul Windrum,et al. Empirical Validation of Agent-Based Models: Alternatives and Prospects , 2007, J. Artif. Soc. Soc. Simul..
[381] Vittorio Loreto,et al. Opinion dynamics: models, extensions and external effects , 2016, Participatory Sensing, Opinions and Collective Awareness.
[382] Mark Dredze,et al. Understanding Vaccine Refusal: Why We Need Social Media Now. , 2016, American journal of preventive medicine.
[383] Andreja Bubić,et al. EYE MOVEMENTS REVEAL STUDENTS’ STRATEGIES IN SIMPLE EQUATION SOLVING , 2014 .
[384] L. Bettencourt,et al. The power of a good idea: Quantitative modeling of the spread of ideas from epidemiological models , 2005, physics/0502067.
[385] George E. Tita,et al. Human group formation in online guilds and offline gangs driven by a common team dynamic. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[386] H. Hethcote. Qualitative analyses of communicable disease models , 1976 .
[387] Ibrahima Diallo. ‘To understand lessons, think through your own languages.’ An analysis of narratives in support of the introduction of indigenous languages in the education system in Senegal , 2011 .
[388] Stephen J. DeCanio,et al. Game theory and climate diplomacy , 2013 .
[389] Jure Leskovec,et al. Information diffusion and external influence in networks , 2012, KDD.
[390] Kathleen M. Carley,et al. Online extremism and the communities that sustain it: Detecting the ISIS supporting community on Twitter , 2017, PloS one.
[391] Wenwu Zhu,et al. Structural Deep Network Embedding , 2016, KDD.
[392] Duncan MacRae,et al. Dimensions of congressional voting : a statistical study of the House of Representatives in the Eighty-first Congress /by Duncan MacRae, Jr , 1958 .
[393] H. Huyse,et al. Editorial: Citizen Initiatives for Global Solidarity. The New Face of European Solidarity , 2017 .
[394] Dawn M. Cappelli,et al. The CERT Guide to Insider Threats: How to Prevent, Detect, and Respond to Information Technology Crimes , 2012 .
[395] Frank Safayeni,et al. Using Computational Modeling for Building Theory: A Double Edged Sword , 2016, J. Artif. Soc. Soc. Simul..
[396] Lars Schmidt-Thieme,et al. Recommender system for predicting student performance , 2010, RecSysTEL@RecSys.
[397] Jun Tanimoto,et al. Analysis of SIR epidemic model with information spreading of awareness , 2019, Chaos, Solitons & Fractals.
[398] Jeffrey C. Schank,et al. An Agent-Based Model of Social Identity Dynamics , 2012, J. Artif. Soc. Soc. Simul..
[399] R. Groves. Three Eras of Survey Research , 2011 .
[400] Arunkumar Bagavathi,et al. Multi-Net: A Scalable Multiplex Network Embedding Framework , 2018, COMPLEX NETWORKS.
[401] Marwan Mattar,et al. Unity: A General Platform for Intelligent Agents , 2018, ArXiv.
[402] R. Hertwig,et al. Decisions from Experience and the Effect of Rare Events in Risky Choice , 2004, Psychological science.
[403] Kate Starbird,et al. Ecosystem or Echo-System? Exploring Content Sharing across Alternative Media Domains , 2018, ICWSM.
[404] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[405] Emanuele Casarotti,et al. No Misunderstandings During Earthquakes: Elaborating and Testing a Standardized Tweet Structure for Automatic Earthquake Detection Information , 2015, ISCRAM.
[406] N. Agarwal,et al. A Comparative Analysis of Facebook and Twitter Bots , 2019 .
[407] Tom Pyszczynski,et al. The Worm at the Core: On the Role of Death in Life , 2015 .
[408] Michael J. Prietula,et al. Simulating organizations: computational models of institutions and groups , 1998 .
[409] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[410] Mark Newman,et al. Detecting community structure in networks , 2004 .
[411] Tomas Mikolov,et al. Efficient Large-Scale Multi-Modal Classification , 2018, AAAI.
[412] A. Rodgers,et al. International Physical Activity Questionnaire (IPAQ) and New Zealand Physical Activity Questionnaire (NZPAQ): A doubly labelled water validation , 2007, The international journal of behavioral nutrition and physical activity.
[413] Michael J. North,et al. Complex adaptive systems modeling with Repast Simphony , 2013, Complex Adapt. Syst. Model..
[414] G. S. O'Keeffe,et al. The Impact of Social Media on Children, Adolescents, and Families , 2011, Pediatrics.
[415] Daniel A. Levinthal,et al. Exploration and Exploitation in Organizational Learning , 2007 .
[416] Kate Ching-Ju Lin,et al. Maximizing Submodular Set Function With Connectivity Constraint: Theory and Application to Networks , 2013, IEEE/ACM Transactions on Networking.
[417] U. Netlogo Wilensky,et al. Center for Connected Learning and Computer-Based Modeling , 1999 .
[418] Jie Zhang,et al. Community Size Effects on Epidemic Spreading in Multiplex Social Networks , 2016, PloS one.
[419] H. Haaland,et al. Beyond crisis management? The role of Citizen Initiatives for Global Solidarity in humanitarian aid: the case of Lesvos , 2019, Citizen Aid and Everyday Humanitarianism.
[420] G. Bechtel. The Societal Impact of Economic Anxiety , 2021 .