2017 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
July 5-8, 2017, Lehman Auditorium, George Washington University, Washington DC, USA

Online Proceedings

A Conference Agenda may be downloaded here.

A list of accepted papers may be viewed here.

A link to view the online copy of the Proceedings published by Springer may be found here.

A list of Tutorials with descriptions and downloads may be viewed here.

Awards presented in 2017 may be viewed here.

2017 Challenge Problem Videos can be found here.

• "Affective Computing of Constitutional States for Human Information Interaction"
  
  • Brian Jalaian, Hooman Samani, Michael Lee, and Adrienne Raglin
• "Characterizing and Identifying Shills in Social Media"
  
  • Fred Morstatter, Robert P. Trevino and Huan Liu
• "On User Engagement across Social Media Campaigns to Curb Gender-based Violence"
  
  • Prakruthi Karuna, Hemant Purohit, Bonnie Stabile and Angela Hattery
• "Effects of demography and social groups on opinion dynamics"
  
  • Mathias MJ Bellaiche and David A Broniatowski
• "If you betray your teammates, do you think you can be spotted?"
  
  • Paola Rizzo, Alice Leung, Karen Haigh, Chaima Jemmali, Magy Seif El-Nasr
• "Learning Social Graph Topologies using Generative Adversarial Neural Networks"
  
  • Sahar Tavakoli, Alireza Hajibagheri, and Gita Sukthankar
• "Performance and Saliency Analysis of Data from the Anomaly Detection Task Study"
  
  • Adrienne Raglin and Andre Harrison
• "Predicting Students Performance Based on Their Reading Behaviors"
  
  • Hung Chau, Ang Li and Yu-Ru Lin
• "Scientific Communication in Medical Education: Modeling the Adoption Rate in Multiple Peer Networks"
  
  • Jordan Richard Schoenherra and Matthew Laschukb
• "Sentiment Analysis and Political Party Classification in 2016 U.S. President Debates in Twitter"
  
  • Tianyu Ding, Junyi Deng, Jingting Li and Yu-Ru Lin
• "Social Network Analysis of Job Market Stakeholders in Morocco"
  
  • Imane Khaouja, Ibtissam Makdoun, Ghita Mezzour, Ibrahim Rahhal, Hanane Benchekroun, Yousra El Hatib, and Ismail Kassou

• "Automated Fake News Detection Using Text Analysis and Machine Learning" - Poster
  
  • Vivek Singh, Rupanjal Dasgupta, Darshan Songara, Karthik Raman and Isha Ghosh
• "Identifying Bots that Spread Fake News" - Poster
  
  • Sumeet Kumar, Kathleen Carley and Ramon Villa
• "Mapping the echo-chamber: detecting and characterizing partisan networks on Twitter" - Poster
  
  • Armineh Nourbakhsh, Xiaomo Liu, Quanzhi Li and Sameena Shah
• "Detecting emotions and evocative text" - Poster
  
  • Ria Baldevia, William Paulsen and Olisa Stephensbailey
• "Towards Developing Methodology to Stem the Tide of Fake News" - Poster
  
  • Kiran Kumar Bandeli, Muhammad Nihal Hussain, Samer Al-Khateeb and Nitin Agarwal
• "Automated Linguistic Classification of Fake and Real News" - Poster
  
  • Grayson Cupit, Leah Windsor, Danielle Clewley, Michael Boyd and Alistair Windsor
• "Exploring the content of misinformation in multiple perspectives" - Poster
  
  • Dian Hu and David Broniatowski
• "A Framework for Understanding the Impact of Perspective on Classification of Fake News" - Poster
  
  • Andy Novobilski

• "Analysis and Control of Socio-Cultural Opinion Evolution in Complex Social Systems"
  
  • Farshad Salimi, University of Tennessee
• "Uncovering Teamwork in Networks - Prediction, Optimization and Explanation"
  
  • Liangyue Li, Arizona State University
• "Network Connectivity in Complex Networks: Measures, Inference and Optimization"
  
  • Chen Chen, Arizona State University
• "Effects of Contact Network Models on Stochastic Epidemic Simulations"
  
  • Rehan Ahmad, University of Toledo
• "How Rap Music Reflects Our Society"
  
  • Jaehyuk Park, Indiana University
• "Investigating the Use of Bots to Spread Fake News in Social Media"
  
  • Sumeet Kumar, Carnegie Mellon University
• "Effective Organizational Change: Measurement of Organizations to Evaluate Interventions"
  
  • Geoffrey Morgan, Carnegie Mellon University