Overview
- 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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About this book
Social computing is concerned with the study of social behavior and social c- text based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understa- ing of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment of various - cial activities. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, and prediction. Numerous interdisciplinary and inter- pendent systems are created and used to represent the various social and physical systems for investigating the interactions between groups, communities, or nati- states. This requires joint efforts to take advantage of the state-of-the-art research from multiple disciplines, social computing, and behavioral modeling in order to document lessons learned and develop novel theories, experiments, and methodo- gies in terms of social, physical, psychological, and governmental mechanisms. The goal is to enable us to experiment, create, and recreate an operational environment with a better understanding of the contributions from each individual discipline, forging joint interdisciplinary efforts. This is the second international workshop on Social Computing, Behavioral ModelingandPrediction. The submissions were from Asia, Australia, Europe, and America. Since SBP09 is a single-track workshop, we could not accept all the good submissions. The accepted papers cover a wide range of interesting topics.
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Keywords
Table of contents (31 papers)
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Front Matter
Bibliographic Information
Book Title: Social Computing and Behavioral Modeling
Editors: Michael J. Young, John Salerno, Huan Liu
DOI: https://doi.org/10.1007/978-1-4419-0056-2
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2009
Hardcover ISBN: 978-1-4419-0055-5Published: 26 March 2009
Softcover ISBN: 978-1-4419-5491-6Published: 05 November 2010
eBook ISBN: 978-1-4419-0056-2Published: 05 April 2009
Edition Number: 1
Number of Pages: XVI, 264
Number of Illustrations: 100 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Information Storage and Retrieval, Computer Appl. in Social and Behavioral Sciences, Game Theory, Economics, Social and Behav. Sciences, Statistics for Social Sciences, Humanities, Law, Operations Research, Management Science