Social, Cultural, and Behavioral Modeling: 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9–12, 2019, Proceedings (Lecture Notes in Computer Science Book 11549)

This book constitutes the proceedings of the 12th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2019, held in Washington, DC, USA, in July 2019. The total of 28 papers presented in this volume was carefully reviewed and selected from 72 submissions. The papers in this volume show, people, theories, methods and data from a wide number of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used include, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics. -- Provided by publisher Front Matter ....Pages i-xv Analyzing the Dabiq Magazine: The Language and the Propaganda Structure of ISIS (Halil Bisgin, Hasan Arslan, Yusuf Korkmaz)....Pages 1-11 Characterizing Organizational Micro-climates in Structural Groups (Geoffrey P. Morgan, Kathleen M. Carley)....Pages 12-20 Pro/Con: Neural Detection of Stance in Argumentative Opinions (Marjan Hosseinia, Eduard Dragut, Arjun Mukherjee)....Pages 21-30 Modeling Gender Inequity in Household Decision-Making (Allegra A. Beal Cohen, Paul R. Cohen, Gregory Kiker)....Pages 31-38 Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration? (Tahora H. Nazer, Matthew Davis, Mansooreh Karami, Leman Akoglu, David Koelle, Huan Liu)....Pages 39-49 A Quantitative Portrait of Legislative Change in Ukraine (Zachary K. Stine, Nitin Agarwal)....Pages 50-59 Synthesizing Machine-Learning Datasets from Parameterizable Agents Using Constrained Combinatorial Search (Victor Hung, Joshua Haley, Robert Bridgman, Norb Timpko, Robert Wray)....Pages 60-69 Exploiting Emojis for Sarcasm Detection (Jayashree Subramanian, Varun Sridharan, Kai Shu, Huan Liu)....Pages 70-80 Condorcet Optimal Clustering with Delaunay Triangulation: Climate Zones and World Happiness Insights (Max Bassett, Blake Newton, Joseph Schlessinger, Jacob Schmidt, Scott Lynch, Patrick Kuiper et al.)....Pages 81-91 Using Common Enemy Graphs to Identify Communities of Coordinated Social Media Activity (Lucas A. Overbey, Bryan Ek, Kevin Pinzhoffer, Bryan Williams)....Pages 92-102 Chronological Semantics Modeling: A Topic Evolution Approach in Online User-Generated Medical Data (Cheng-Yu Chung, I-Han Hsiao)....Pages 103-112 Massive-Scale Models of Urban Infrastructure and Populations (Daniel Baeder, Eric Christensen, Anhvinh Doanvo, Andrew Han, Ben F. M. Intoy, Steven Hardy et al.)....Pages 113-122 Dynamic Resource Allocation During Natural Disasters Using Multi-agent Environment (Alina Vereshchaka, Wen Dong)....Pages 123-132 Parallelizing Convergent Cross Mapping Using Apache Spark (Bo Pu, Lujie Duan, Nathaniel D. Osgood)....Pages 133-142 Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks (Rehan Ahmad, Kevin S. Xu)....Pages 143-152 Characterizing Bot Networks on Twitter: An Empirical Analysis of Contentious Issues in the Asia-Pacific (Joshua Uyheng, Kathleen M. Carley)....Pages 153-162 A Hybrid Cellular Model for Predicting Organizational Recruitment in a k-Dimensional Space (Nicolas L. Harder, Matthew E. Brashears)....Pages 163-172 A Challenging Dataset for Bias Detection: The Case of the Crisis in the Ukraine (Andres Cremisini, Daniela Aguilar, Mark A. Finlayson)....Pages 173-183 Does Causal Coherence Predict Online Spread of Social Media? (Pedram Hosseini, Mona Diab, David A. Broniatowski)....Pages 184-193 Detecting Disruption: Identifying Structural Changes in the Verkhovna Rada (Thomas Magelinski, Jialin Hou, Tymofiy Mylovanov, Kathleen M. Carley)....Pages 194-203 Lost in Online Stores? Agent-Based Modeling of Cognitive Limitations of Elderly Online Consumers (Justyna Pawlowska, Radoslaw Nielek, Adam Wierzbicki)....Pages 204-213 Identifying Toxicity Within YouTube Video Comment (Adewale Obadimu, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal)....Pages 214-223 Examining Intensive Groups in YouTube Commenter Networks (Mustafa Alassad, Nitin Agarwal, Muhammad Nihal Hussain)....Pages 224-233 User Behavior Modelling for Fake Information Mitigation on Social Web (Zahra Rajabi, Amarda Shehu, Hemant Purohit)....Pages 234-244 Effect of E-Cigarette Use and Social Network on Smoking Behavior Change: An Agent-Based Model of E-Cigarette and Cigarette Interaction (Yang Qin, Rojiemiahd Edjoc, Nathaniel D. Osgood)....Pages 245-255 Multi-scale Simulation Modeling for Prevention and Public Health Management of Diabetes in Pregnancy and Sequelae (Yang Qin, Louise Freebairn, Jo-An Atkinson, Weicheng Qian, Anahita Safarishahrbijari, Nathaniel D. Osgood)....Pages 256-265 Cough Detection Using Hidden Markov Models (Aydin Teyhouee, Nathaniel D. Osgood)....Pages 266-276 Modeling Belief Divergence and Opinion Polarization with Bayesian Networks and Agent-Based Simulation (Kamwoo Lee, Jeanine Braithwaite)....Pages 277-287 Back Matter ....Pages 289-290 This volume consists of the proceedings of the 12th International Conference SBP-BRiMS 2019, held in Washington, DC, on July 9-12, 2019. The work presented at the Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP) Conference and the Behavioral Representation in Modeling and Simulation (BRiMS) Society's conference continued in the scholarly tradition of the past conferences. The goal of this conference is to build this new community of social cyber scholars by bringing together and fostering interaction between members of the scientific, corporate, government, and military communities interested in understanding, forecasting, and impacting human sociocultural behavior. It is the charge of this community to build this new science, its theories, methods, and its scientific culture in a way that does not give priority to either social science or computer science, and to embrace change as the cornerstone of the community. The conference has a strong multidisciplinary heritage. As the papers in this volume show, people, theories, methods, and data from a wide number of disciplines are represented including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used including, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics