2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
July 09-12, 2019, Lehman Auditorium, George Washington University, Washington DC, USA

A link to view the online copy of the proceedings published by Springer may be found here. It is available for the period July 2, 2019 to August 2, 2019

• Interdependent human-machine teams: A theory of teams, but not groups, advances Artificial Intelligence (AI)
• William Lawless

• Coordination in homogeneous and heterogeneous teams
• Othalia Larue, Ion Juvina, Matt Molineaux, Bruce Howard, Eric Nichols, Brad Minnery and Mike Cox

• Misinformation: We’re Four Steps Behind Its Creators
• John Gray and Sara-Jayne Terp

• Exploring the experiential impact of online propaganda using eye-gaze and pupil dilation: A comparison across three ideological groups
• Mojtaba Heidarysafa, Sara Dalpe, Shelby Kiefner, Erfan Pakdamanian, Inki Kim, Donald E. Brown and Janet I. Warren

• ioM-HDR: A High Dynamic Range adapted model of visual salience
• Andre Harrison, Michael Green, Chou Hung and Adrienne Raglin

• Comparing Modeling Techniques in their Ability to Predict Current and Likely Next Tasks for Cognitive Workers
• Sylvain Bruni, Lisa Lucia, Patrick Cummings and Benjamin Ford

• Practical Application of Graph Data for Agent-based Models
• Clarence Dillon

• Identifying Indicators of Bias in Data AnalysisUsing Proportionality and Separability Metrics
• Madeleine Schneider, Jonathan Grinsell, Travis Russell, Randall Hickman and Robert Thomson

• An Experimental Framework for Characterizing Adversarial Behavior in Social Networks
• Pivithuru Wijegunawardana, Mario Taglic, Ralucca Gera and Sucheta Soundarajan

• A Case Study Of The Noordin Network
• Elie Alhajjar and Travis Russell

• Iterative Keyword Optimization
• Aviad Elyashar, Maor Reuben and Rami Puzis

• Effects of Network Aggregation in Simple Diffusion Simulations
• Thomas Magelinski and Kathleen M. Carley

• Modeling Society Reacting to a Nuclear WMD Event
• Annetta Burger, Bill Kennedy, Andrew Crooks, Richard 'Na' Jiang and Diana 'Pat' Guillen-Piazza

• Leveraging Heterogeneous Data Sources for Civil Unrest Prediction
• Lu Meng and Rohini Srihari

• Knowledge Base Management Simplified with EZ Vector-KB
• Michael Green, Adrienne Raglin, Douglas Summers-Stay and Andre Harrison

• A Measurement of Social Capital in an Open Source Software Project
• Saad Alqithami, Musaad Alzahrani and Rahmat Bodiarto

• Modelling the Workplace Incivility with Prosocial and Antisocial Cues to Predict Psychological and Organizational Exit
• Jordan Schoenherr and Kim Nguyen

• EventPeriscope: a Novel Pipeline to Analyze Impact of Real-World Events on Twitter Discussions
• Lida Safarnejad, Yaorong Ge, Qian Xu and Shi Chen

• Information Operations Analysis of NATO Trident Juncture Exercise 2018
• Joshua Uyheng, Thomas Magelinski, Ramon Villa Cox, Christine Sowa and Kathleen M. Carley

• Causal Analysis of Online Outcomes of Interactions between Organic and Inorganic Accounts
• Onur Savas, Benjamin A Ortiz and Ian McCulloh

• Hostile Actor Amplification via YouTube during NATO’s Trident Juncture 2018
• Katrin Galeano, Rick Galeano and Nitin Agarwal

• Predicting Social Network Evolution from Community Data Partitions
• Neda Hajiakhoond Bidoki, Madeline Schiappa, Gita Sukthankar and Ivan Garibay

• The Impact of Graph Structure on Small-World Shortest Paths
• Pegah Hozhabrierdi and Reza Zafarani

• Predicting Enemy Squad Positions Based on Environmental Data, Unit Objectives, Tactics and Observed Entities
• Kenneth Maroon and Christian Darken

• Identifying Burns in Medical Device Reports
• Lydia Gleaves and David Broniatowski

• Blog Farm Detection Using Social Network Analysis and Social Cyber Forensics Informed Methodologies
• Tuja Khaund, Billy Spann, Richard Young, Samer Al-Khateeb and Nitin Agarwal

• Does Simulation Fidelity Affect Training? A Lesson from a Brief Review of Literature
• Pooyan Doozandeh and Frank Ritter

• Probabilistic Relational Agent-based Models (PRAM)
• Tomasz D. Loboda and Paul Cohen

• Complexity metrics for Agent Based Models of Social Systems
• Kiran Lakkaraju, Asmeret Naugle, Stephen Verzi, Laura Swiler and Christina Warrender

• Relating Linguistic Gender Bias, Gender Values, and Gender Gaps: An International Analysis
• Scott Friedman, Jeffrey Rye, Robert P. Goldman, Sonja Schmer-Galunder and Anthony Chen

• Communication Patterns and Performance in Early Startups
• Oren Lederman, Daniel Fehder, Alfredo Morales, Fiona Murray and Alex Pentland

• Trying to Be Heard: Gender and Group Dynamics
• Jiaxing Shen, Oren Lederman, Jiannong Cao, Shaojie Tang and Alex Pentland

• Visually Modeling the Evolution of Political Parties in Dynamic Political Environments
• David Beskow and Kathleen Carley

• Detecting Malware Communities Using Socio-cultural Cognitive Mapping
• Iain Cruickshank, Kathleen Carley, Matthew Elder, Anthony Johnson and Timothy Davison

• Information Seeking Behavior During Election Cycles
• Ria Baldevia

• Using Sampling and Cross Platform Entropy for Predicting Social Dynamics
• Neda Hajiakhoond Bidoki and Gita Sukthankar

• Toward Multi-Modal Stance Learning
• Sumeet Kumar and Kathleen Carley

• Computational Comparative Religion: Methods for Cross-Cultural Analyses
• Zachary Stine

• Social Behaviour Modeling and Optimization through Big Data and Reinforcement Learning
• Alina Vereshchaka

• TwitterSim: A policy-oriented test-bed for the spread of Contentious Messages in Twitter
• Ramon Villa-Cox and Kathleen Carley

• The Measures of Cyber Team Performance
• Geoff Dobson

• Understanding User Sentiment using YouTubeTracker
• Muhammad Nihal Hussain, Thomas Marcoux, Adewale Obadimu and Nitin Agarwal

• FakeNewsTracker: A Tool for Fake News Collection, Detection, and Visualization
• Kai Shu, Deepak Mahudeswaran, and Huan Liu

• CyberFIT
• Geoff Dobson

• Future Scape
• Steve Hardy

• CAUSE: A Data Repository for Causal Inference
• Raha Moraffah, Lu Cheng, Ruocheng Guo, K Selcuk Candan, Huan Liu

• ORA
• Jeff Reminga and Dr. L. Richard Carley

• Blog Data Analytics Using Blogtrackers
• Adewale Obadimu, Muhammad Nihal Hussain and Nitin Agarwal

• The Insights of the Popular Game Apps from the Reviews Analytic
• Chaochang Chiu, Hsin-Min Hsiao and Chi-I Hsu

• The Forgotten Network: YouTube Comments Used As an Amplifier for Messaging
• Rick Galeano, Katrin Galeano, Nitin Agarwal, and Muhammad Nihal Hussain

• Fake News on Reddit: Spreading Disinformation to Diverse Communities
• Christine Sowa and Kathleen Carley

• Positive and Negative Support for False Narratives:#AlitaChallenge vs. BoycottCaptainMarvel
• Ramon Alfonso Villa-Cox, Sumeet Kumar and Matthew Babcock

• Misinformation Menagerie
• Matthew Babcock and Kathleen M. Carley

• Examining Strategic Integration of Social Media Platforms in Tracking Disinformation Campaign Coordination: Analysis in the Asia Pacific Region
• Muhammad Nihal Hussain and Nitin Agarwal

• Novel Approaches to Analyzing and Distinguishing Fake and Real News to Mitigate the Problem of Disinformation
• Alina Vereshchaka, Wen Dong and Seth Cosimini

• Climate Change Debate on Twitter During COP24
• Aman Tyagi, Matthew Babcock and Kathleen M. Carley