Social Computing and Behavioral Modeling

Editors: Liu, Huan, Salerno, John, Young, Michael J. (Eds.)

  • Integrates an interdisciplinary audience comprised of researchers, practitioners, and graduate students from social science, behavioral science, computer science, psychology, cultural study, information systems, and operations research
  • Incorporates views from government, industry, and academia
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eBook $159.00
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  • ISBN 978-1-4419-0056-2
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  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-1-4419-0055-5
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  • Online orders shipping within 2-3 days.
Softcover $209.00
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  • ISBN 978-1-4419-5491-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

 

 

 

Table of contents (31 chapters)

  • When is social computation better than the sum of its parts?

    Gintautas, Vadas (et al.)

    Pages 1-9

  • A Socio-Technical Approach to Understanding Perceptions of Trustworthiness in Virtual Organizations

    Ho, Shuyuan Mary

    Pages 1-10

  • Dynamic Networks: Rapid Assessment of Changing Scenarios

    Belov, Nadya (et al.)

    Pages 1-9

  • Collaborating with Multiple Distributed Perspectives and Memories

    Ford, Anthony J. (et al.)

    Pages 1-8

  • Modeling Populations of Interest in Order to Simulate Cultural Response to Influence Activities

    Bernard, Michael (et al.)

    Pages 1-8

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-1-4419-0056-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-1-4419-0055-5
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.
Softcover $209.00
price for USA
  • ISBN 978-1-4419-5491-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Social Computing and Behavioral Modeling
Editors
  • Huan Liu
  • John Salerno
  • Michael J. Young
Copyright
2009
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-1-4419-0056-2
DOI
10.1007/978-1-4419-0056-2
Hardcover ISBN
978-1-4419-0055-5
Softcover ISBN
978-1-4419-5491-6
Edition Number
1
Number of Pages
XVI, 264
Number of Illustrations and Tables
100 b/w illustrations
Topics