2020 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
Oct 19-22, 2020, Virtual

A link to view the online copy of the proceedings published by Springer may be found here. It is available for four weeks starting October 19, 2020. This link is now live; download your copy today!

• Twitter Community Detection Using Principles of Dynamic Social Impact Theory
• Benjamin Mitchell, Partha Mukherjee and Youakim Badr

• Identifying Influencers by Countries in Twittersphere
• Rong Pan, Guanqi Fang and Aleksey Panasyuk

• Data Collection and Sensemaking from Telegram: A Case Study of Ukrainian Political Leaders Channels and Chat Groups
• Tuja Khaund, Mainuddin Shaik and Nitin Agarwal

• Predicting Cognitive Control in Older Adults using Deep Learning and EEG Data
• Alina Vereshchaka, Fan Yang, Abhijit Suresh, Ibrahim L. Olokodana and Wen Dong

• Community based Discussion Detection on Code Switched Social Media Content
• Prarthana Padia, Lucia Falzon, Aaron Harwood, Shanika Karunasekera and Michelle Vanni

• Analyzing Moroccan Employment Stakeholder perceptions using Social Network Analysis & Text Analysis
• Ibrahim Rahhal, Ghita Mezzour, Kathleen Carley and Ismail Kassou

• Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation
• Yigeng Zhang, Fan Yang, Yifan Zhang, Eduard Dragut and Arjun Mukherjee

• Effects of Assortativity on Consensus Formation with Heterogeneous Agents
• Ece Mutlu and Ivan Garibay

• The Russian Strategy for Interference and Influence on Reddit: An Analysis of Infiltrating New Social Media Platforms
• Christine Sowa and Kathleen Carley

• A Structural Approach for Classifying Russian Social Media Narratives in the Baltic Region
• Timur Chabuk, Adam Jonas and Sue Kase

• Sentiment and Retweet Analysis of User Response for Early Fake News Detection
• Uzoamaka Ezeakunne, Shuyuan Mary Ho and Xiuwen Liu

• Experiments with One-Class SVM and Word Embeddings for Document Classification
• Jingnan Bi, Hyoungah Kim and Vito D'Orazio

• Controversial information diffuses faster and further in Reddit
• Jasser Jasser, Ivan Garibay, Steve Scheinert and Alexander V. Mantzaris

• Social Network Analysis of Gobekli Tepe: Belief Propagation in 10th Millennium BC
• Niloofar Bagheri-Jebelli and William Kennedy

• PoliBERT: Classifying political social media messages with BERT
• Shloak Gupta, Sarah Bolden, Jay Kachhadia, Ania Korsunska and Jennifer Stromer-Galley

• Digital Trails of Work Stressors
• Talha Oz

• ERC20 Transactions over Ethereum Blockchain: Network Analysis and Predictions
• Shahar Somin, Goren Gordon, Alex Pentland, Erez Shmueli and Yaniv Altshuler

• Toward Privacy and Utility Preserving Image Representation
• Ahmadreza Mosallanezhad, Yasin Silva, Michelle Mancenido and Huan Liu

• Why do many questions on Stack Exchange not have many answers? A preliminary agent-based model of answer contributions to Stack Exchange
• Arpan Jani and Naren Peddibhotla

• Bot Activity in the 2020 Singaporean Elections: A Social Cybersecurity Analysis
• Joshua Uyheng, Lynnette Hui Xian Ng and Kathleen Carley

• Integrating Ethical Sensemaking into Cybersecurity: A Problem-Based Learning Approach
• Jordan Richard Schoenherr, Robert Thomson and Aryn Pyke

• Can a Model of Mental Math Problem Solving Be Applied to Cyber Capture the Flag Problems?
• Aryn Pyke and Robert Thomson

• Non-Pharmaceutical Herd Immunity using Homemade Masks
• Dale Brearcliffe

• Preliminary Evaluation of Global Mass Gatherings Suspension in Saudi Arabia during the COVID-19 Pandemic
• Sultanah Alshammari, Waleed Almutiry, Harsha Gwalani and Saeed Algarni

• The Ebb and Flow of the COVID-19 Misinformation Themes
• Thomas Marcoux, Esther Mead and Nitin Agarwal

• The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories
• Lynnette Ng and Kathleen Carley

• Cultural Convergence: Insights into the behavior of misinformation networks on Twitter
• Liz McQuillan, Erin McAweeney, Alicia Bargar and Alexander Ruch

• Investigating dynamics of COVID-19 spread and containment with agent-based modeling
• Amirarsalan Rajabi, Alexander Mantzaris, Ece Mutlu and Ivan Garibay

• A Context-Aware Social Distancing Nudge for Public Health in Response to COVID-19 Pandemic
• Shuyuan Mary Ho, Md Shamim Seraj, Kevin Yee, Xiuwen Liu and Gordon Erlebacher

• Modeling, Estimating, and Minimizing Average New Infections of COVID-19 Based on Information Theory and Social Networks
• Hussein Al-Hamdani, Mustafa Alassad, Nitin Agarwal and Seshadri Mohan

• Medical Literature Mining and Retrieval in a Conversational Setting
• Souvik Das, Sougata Saha and Rohini Srihari

• Analytical Study of the Non-pharmaceutical Public Health Interventions to Control the Novel Coronavirus Disease 2019 (COVID-19)
• Aseel Addawood, Sultanah Alshammari, Amal Alqahtani and Amal Almansour

• Modeling the Absence of Framing Effect among Indian and US populations in an Experience-based COVID-19 Disease Problem
• Shashank Uttrani, Neha Sharma and Varun Dutt

• Cognitive Modeling for Computational Epidemiology
• Peter Pirolli, Archna Bhatia, Konstantinos Mitsopoulos, Christian Lebiere and Mark Orr

• Modeling Protester Orchestration through Connective Action: A COVID-19 Lockdown Protest Case Study
• Billy Spann, Nitin Agarwal, Oluwaseun Johnson and Esther Mead

• Systems Thinking and Modeling in Social Networks: A Case Study of Coronavirus Conspiracy Theories Challenges in Twitter Network
• Mustafa Alassad, Muhammad Nihal Hussain and Nitin Agarwal

• Exploring the Impact of Mandatory Remote Work during the COVID-19 Pandemic
• Talha Oz and Andrew Crooks

• Network-Based Analysis of Early Pandemic Mitigation Strategies, Solutions, and Future Directions
• Pegah Hozhabrierdi, Raymond Zhu, Maduakolam Onyewu and Sucheta Soundarajan

• Utilizing Topic Modeling and Social Network Analysis to Identify and Regulate Toxic COVID-19 Behaviors on YouTube
• Adewale Obadimu, Esther Mead, Tuja Khaund, Maryetta Morris and Nitin Agarwal

More details regarding proceedings will be posted as soon as this information becomes available.

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