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Social, Cultural, and Behavioral Modeling

12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9–12, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Robert Thomson

    1. United States Military Academy, West Point, USA

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  2. Halil Bisgin

    1. University of Michigan–Flint, Flint, USA

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  3. Christopher Dancy

    1. Bucknell University, Lewisburg, USA

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  4. Ayaz Hyder

    1. The Ohio State University, Columbus, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11549)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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About this book

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.  

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Keywords

Table of contents (28 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Analyzing the Dabiq Magazine: The Language and the Propaganda Structure of ISIS

    • Halil Bisgin, Hasan Arslan, Yusuf Korkmaz
    Pages 1-11

  3. Characterizing Organizational Micro-climates in Structural Groups

    • Geoffrey P. Morgan, Kathleen M. Carley
    Pages 12-20

  4. Pro/Con: Neural Detection of Stance in Argumentative Opinions

    • Marjan Hosseinia, Eduard Dragut, Arjun Mukherjee
    Pages 21-30

  5. Modeling Gender Inequity in Household Decision-Making

    • Allegra A. Beal Cohen, Paul R. Cohen, Gregory Kiker
    Pages 31-38

  6. 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

  7. A Quantitative Portrait of Legislative Change in Ukraine

    • Zachary K. Stine, Nitin Agarwal
    Pages 50-59

  8. Synthesizing Machine-Learning Datasets from Parameterizable Agents Using Constrained Combinatorial Search

    • Victor Hung, Joshua Haley, Robert Bridgman, Norb Timpko, Robert Wray
    Pages 60-69

  9. Exploiting Emojis for Sarcasm Detection

    • Jayashree Subramanian, Varun Sridharan, Kai Shu, Huan Liu
    Pages 70-80

  10. 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

  11. Using Common Enemy Graphs to Identify Communities of Coordinated Social Media Activity

    • Lucas A. Overbey, Bryan Ek, Kevin Pinzhoffer, Bryan Williams
    Pages 92-102

  12. Chronological Semantics Modeling: A Topic Evolution Approach in Online User-Generated Medical Data

    • Cheng-Yu Chung, I-Han Hsiao
    Pages 103-112

  13. 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

  14. Dynamic Resource Allocation During Natural Disasters Using Multi-agent Environment

    • Alina Vereshchaka, Wen Dong
    Pages 123-132

  15. Parallelizing Convergent Cross Mapping Using Apache Spark

    • Bo Pu, Lujie Duan, Nathaniel D. Osgood
    Pages 133-142

  16. Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks

    • Rehan Ahmad, Kevin S. Xu
    Pages 143-152

  17. Characterizing Bot Networks on Twitter: An Empirical Analysis of Contentious Issues in the Asia-Pacific

    • Joshua Uyheng, Kathleen M. Carley
    Pages 153-162

  18. A Hybrid Cellular Model for Predicting Organizational Recruitment in a k-Dimensional Space

    • Nicolas L. Harder, Matthew E. Brashears
    Pages 163-172

  19. A Challenging Dataset for Bias Detection: The Case of the Crisis in the Ukraine

    • Andres Cremisini, Daniela Aguilar, Mark A. Finlayson
    Pages 173-183

  20. Does Causal Coherence Predict Online Spread of Social Media?

    • Pedram Hosseini, Mona Diab, David A. Broniatowski
    Pages 184-193
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Other volumes

  1. Social, Cultural, and Behavioral Modeling

Editors and Affiliations

  • United States Military Academy, West Point, USA

    Robert Thomson

  • University of Michigan–Flint, Flint, USA

    Halil Bisgin

  • Bucknell University, Lewisburg, USA

    Christopher Dancy

  • The Ohio State University, Columbus, USA

    Ayaz Hyder

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