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Social Computing, Behavioral Modeling, and Prediction

Edited by Huan Liu, Edited by John Salerno, Edited by Michael J. Young

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Social computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting with and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment where people can share opinions and experiences, offer suggestions and advice, debate, and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction. The proceedings from this interdisciplinary workshop provide a platform for researchers, practitioners, and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, and operations research to share results and develop new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making.

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Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer-Verlag New York Inc.
Published date | 4 Nov 2010
Language |
Format | Paperback / softback
Pages | 264
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-4419-4597-6
Readership Age |
BISAC | computers / social aspects / human-computer interaction


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