2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
July 10-13, 2018, Lehman Auditorium, George Washington University, Washington DC, USA

Online Proceedings

A link to view the online copy of the Proceedings published by Springer may be found here. It is Available until August 10, 2018.

• "Blog Data Analytics Using Blogtrackers"
  
  • Muhammad Nihal Hussain and Nitin Agarwal
• "YouTube Data Analytics"
  
  • Serpil Tokdemir and Nitin Agarwal
• "ORA & NetMapper"
  
  • L. Richard Carley, Jeff Reminga and Kathleen M. Carley
• "TweetTracker: A System for Retrieving, Analyzing and Visualizing Social Media Data"
  
  • Data Mining and Machine Learning lab at Arizona State University
• "Bothunter"
  
  • David Beskow and Kathleen M. Carley

• "Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching"
  
  • Yao Zhou
• "Personalized Learning for Cyberbullying Detection" - Poster
  
  • Lu Cheng
• "Causal Inference for Early Detection of Pathogenic Social Media Accounts"
  
  • Hamidreza Alvari
• "Addressing Task Heterogeneity in Social Media Analytics"
  
  • Arun Reddy Nelakurthi
• "Public Opinion and Social Media: Potential and Pitfalls" - Poster, Teaser
  
  • Michael Smith
• "False News on Social Media"
  
  • Pedram Hosseini
• "Social Media and User Privacy"
  
  • Ghazaleh Beigi

• "A Computational Social Science Approach to Examine the Duality between Productivity and Cybersecurity Policy Compliance within Organizations"
  
  • Clay Posey and Matthew Canham
• "A Predicative Processing Model of Categorical Perception"
  
  • Spencer K. Lynn
• "Analyzing Perceived Risk of Flu Vaccine on Twitter"
  
  • Michael C. Smith, Amelia M. Jamison and David A. Broniatowski
• "Behavioral Deviations in Social Media Caused by Emergency Events"
  
  • Aruna Jammalamadaka, Jiejun Xu, and Tsai-Ching Lu
• "Bot-hunter: A Tiered Approach to Detecting & Characterizing Automated Activity on Twitter"
  
  • David M. Beskow and Kathleen M. Carley
• "Comparison of Faction Detection Methods in Application to Ukrainian Parliamentary Data"
  
  • Thomas Magelinski, Iain Cruickshank, and Kathleen M. Carley
• "Computational Analysis of Insurance Complaints: GEICO Case Study"
  
  • Amir Karami and Noelle M. Pendergraft
• "Evaluating Performance: Is Population-Centric Information Communicated Better Visually or Textually?"
  
  • Michael N. Geuss
• "Gab: The Alt-Right Social Media Platform"
  
  • Yuchen Zhou, Mark Dredze, David A. Broniatowski, William D. Adler
• "Leveraging Mutual Information to Generate Domain Specific Lexicons"
  
  • Michael Garrett, Patrick Kuiper, Karoline Hood, and Dusty Turner
• "Patterns of Interaction Predict Social Role in Online Learning"
  
  • Huaiyi (Cici) Sun, Dan Calacci, and Alex (Sandy) Pentland
• "Predicting Bias in Machine Learned Classifiers Using Clustering"
  
  • Robert Thomson, Elie Alhajjar, Joshua Irwin, and Travis Russell
• "Simulating Decision-Making with Representation of Imperfect Situation Awareness and Situation Understanding"
  
  • Victor E. Middleton and Frank W Ciarallo
• "Understanding Digital Ethnography: Socio-computational Analysis of Trending YouTube Videos"
  
  • Muhammad Nihal Hussain, Serpil Tokdemir, Samer Al-khateeb, Kiran Kumar Bandeli, and Nitin Agarwal
• "Using Java to Provide Cognitive Models with a More Universal Way to Interact with Graphical User Interfaces"
  
  • Farnaz Tehranchi, Frank E. Ritter
• "Women's Driving in Saudi Arabia – Analyzing the Discussion of a Controversial Topic on Twitter"
  
  • Aseel Addawood and Amirah Alshamrani and Amal Alqahtani and Jana Diesner and David Broniatowski

• "Forecasting Heroin Overdose Occurrences from Crime Incidents" - Poster, Teaser
  
  • Ali Mert Ertugrul, Yu-Ru Lin, Christina Mair and Tugba Taskaya Temizel
• "Using Synthetic Populations to Understand Geospatial Patterns in Opioid Related Overdose and Predicted Opioid Misuse" - Poster, Teaser
  
  • Savannah Bates, Vasiliy Leonenko, James Rineer and Georgiy Bobashev
• "Understanding social determinants of health (SDoH) and health service resources correlation with opioid overdose" - Poster
  
  • Jenny Wang, Iris Sheu and Ali Zadmehr
• "Global trends, local harms: Availability of Fentanyl-Type Drugs on the Dark Web and Accidental Overdoses in Ohio" - Poster, Teaser
  
  • Usha Lokala, Francois Lamy, Raminta Daniulatyate, Amit Sheth, Ramzi Nahhas, Jason Roden, Robert Carlson and Shweta Yadav
• "Using Big Data to Predict Future Opioid Trajectories in the City of Cincinnatti" - Poster
  
  • Murat Ozer
• "Illuminating the Hidden Elements and Future Evolution of Opioid Abuse Using Dynamic Modeling, Big Data and Particle Markov Chain Monte Carlo" - Poster, Teaser
  
  • Xiaoyan Li, Bryce Keeler, Rifat Zahan, Lujie Duan, Anahita Safarishahrbijari, Jason Goertzen, Yuan Tian, Juxin Liu, and Nathaniel Osgood

• "The Definitional Challenges of 'Disinformation'" - Poster
  
  • Leonie Haiden and Jente Althuis
• "FakeNewsTracker: Towards Fake News Collection, Detection, and Visualization" - Poster, Teaser
  
  • Kai Shu, Deepak Mahudeswaran and Huan Liu
• "What makes a rumor popular? A case study of Cryptocurrency Rumors on Reddit and Twitter" - Poster
  
  • Dian Hu and David Broniatowski
• "Which fake fits? How the diffusion of disinformation varies by campaign type and community in the Black Panther Twitter discussion." - Poster
  
  • Matthew Babcock, Ramon Alfonso Villa Cox and Sumeet Kumar
• "Examining Strategic Integration of Social Media Platforms in Tracking Disinformation Campaign Coordination" - Poster, Teaser
  
  • Muhammad Nihal Hussain, Kiran Kumar Bandeli, Samer Al-Khateeb, Serpil Tokdemir, and Nitin Agarwal

• "Reflections on Modeling in Health and Health Care"
  
  • Nathaniel Osgood