Social Computing and Behavioral Modeling

  • Michael J. Young
  • John Salerno
  • Huan  Liu
Conference proceedings

DOI: 10.1007/978-1-4419-0056-2

Table of contents (33 papers)

  1. Front Matter
    Pages 1-14
  2. Trust and Privacy in Distributed Work Groups
    Denise Anthony, Tristan Henderson, James Kitts
    Pages 1-8
  3. Dynamic Networks: Rapid Assessment of Changing Scenarios
    Nadya Belov, Michael K. Martin, Jeff Patti, Jeff Reminga, Angela Pawlowski, Kathleen M. Carley
    Pages 1-9
  4. Modeling Populations of Interest in Order to Simulate Cultural Response to Influence Activities
    Michael Bernard, George Backus, Matthew Glickman, Charles Gieseler, Russel Waymire
    Pages 1-8
  5. The Use of Agent-based Modeling in Projecting Risk Factors into the Future
    Georgiy V. Bobashev, Robert J. Morris, William A. Zule, Andrei V. Borshchev, Lee Hoffer
    Pages 1-6
  6. Cognitive Modeling of Household Economic Behaviors during Extreme Events
    Mark A. Ehlen, Michael L. Bernard, Andrew J. Schol
    Pages 1-9
  7. Collaborating with Multiple Distributed Perspectives and Memories
    Anthony J. Ford, Alice M. Mulvehill
    Pages 1-8
  8. When is social computation better than the sum of its parts?
    Vadas Gintautas, Aric Hagberg, Luís M. A. Bettencourt
    Pages 1-9
  9. The Dilemma of Social Order in Iraq
    Michael Hechter, Nika Kabiri
    Pages 1-11
  10. Finding Influential Nodes in a Social Network from Information Diffusion Data
    Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda
    Pages 1-8
  11. Meta-modeling the Cultural Behavior Using Timed Influence Nets
    Faisal Mansoor, Abbas K. Zaidi, Lee Wagenhals, Alexander H. Levis
    Pages 1-9

About these proceedings


Social computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies creates an unprecedented environment where people can share opinions and experiences, exchange ideas, offer suggestions and advice, debate and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction.

This volume presents material from the second interdisciplinary workshop focused on employing social computing for behavioral modeling and prediction. The book provides a platform for disseminating results and developing new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making. The contributions from this year’s conference, incorporating views from government, industry and academia, address themes such as:

  • social network analysis
  • modeling
  • machine learning and data mining
  • social behaviors and social order
  • public health
  • cultural aspects
  • trust, privacy, and intention
  • opinion, preference, influence, and diffusion
  • extreme events
  • assessment and validation
  • effects and search

Researchers, practitioners and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, political science, and operations research are certain to find this a fascinating and essential resource.





Computer Evaluation Pattern Mining Sage classification computational cultural study group profiling and interaction modeling simulation with social media

Editors and affiliations

  • Michael J. Young
  • John Salerno
  • Huan  Liu
  1. 1.Air Force Research LaboratoryWright-Patterson AFBU.S.A.
  2. 2.LaboratoryUnited States Air Force ResearchRomeU.S.A.
  3. 3.Ira A. Fulton School of EngineeringArizona State UniversityTempeU.S.A.

Bibliographic information

  • Copyright Information Springer-Verlag US 2009
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-1-4419-0055-5
  • Online ISBN 978-1-4419-0056-2