ACM TKDD Special Issue on Social Computing, Behavioral Modeling, and Prediction

Guest Editors: Huan Liu, John Salerno, Michael Young, Rakesh Agrawal, and Philip Yu

Social computing is concerned with the study of social behavior and social context based on computational systems. Behavioral modeling helps study and reproduce social behavior, and allows for experimenting, scenario planning, and deep understanding of behavior, patterns, and potential outcomes.  The pervasive use of computing and Internet technologies provides an unprecedented environment of various social activities.  Social computing facilitates behavioral modeling in model building, analysis, pattern mining, and prediction. Numerous interdisciplinary and interdependent systems are created and used to represent the various social and physical systems for investigating the interactions between groups, communities, or nation-states. This presents singular challenges to knowledge discovery from data and requires joint efforts from multiple disciplines, social computing, and behavioral modeling in order to document lessons learned and develop novel theories, experiments, and methodologies in terms of social, physical, psychological, and governmental mechanisms.  The goal is to enable us to create, experiment, and recreate an operational environment with a better understanding of the contributions from individual disciplines, forging joint interdisciplinary efforts to advance science and research.

This special issue promotes an interdisciplinary, fledgling field of social computing, behavioral modeling, and prediction, and offers a platform for researchers and practitioners from sociology, behavioral science, computer science, psychology, cultural study, information systems, operations research to illustrate pressing needs, demonstrate challenging research issues,  and showcase the state-of-the-art research and development. 

Topics of Interests

Papers are solicited on research issues, theories, and applications of social computing, behavioral modeling, and prediction. Topics of interests include, but are not limited to,

  • Group formation and evolution
  • Group representation and profiling
  • Cultural patterns and representation
  • Social conventions and social contexts
  • Intentions, behaviors, and relations
  • Modeling, projection, and forecasting 
  • Social network analysis and mining
  • Group interaction and collaboration
  • Influence process and recognition
  • Public opinion representation and extraction
  • Search, data, and inference
  • Trust and reputation
  • Sentiment representation and detection
  • Metrics and evaluation
  • Data collection and benchmarks
  • Model and analysis complexity

Important Dates

Submission of full papers: September 10, 2008
Notification of paper acceptance: November 10, 2008
Camera-ready: December 10, 2008

Submission and Preparation

Each submission will be reviewed by at least 3 reviewers.

Please submit your manuscript at ACM TKDD Special Issue on Social Computing, Behaviroal Modeling, and Prediction, or

Details of the journal, manuscript preparation, and recent articles are available on the website:

Contact information: Huan Liu (