Social Computing, Behavioral Modeling, and Prediction
“Social Computing, Behavioral Modeling, and Prediction” by Huan Liu, published by Springer US on November 4, 2010, is a softcover reprint of the hardcover first edition from 2008, comprising 264 pages. This book explores the intersection of social behavior and computational systems, focusing on how behavioral modeling can replicate social interactions and enhance understanding of behavior patterns and outcomes.
Readers will find a comprehensive examination of social computing, which enables the analysis and prediction of social behavior through various computational methodologies. The text discusses the implications of widespread computer and Internet use, highlighting how these technologies foster environments for sharing opinions, conducting experiments, and engaging in debates. The proceedings from an interdisciplinary workshop included in this volume aim to bridge insights from sociology, behavioral and computer science, psychology, and other fields, contributing to the advancement of concepts and methodologies in social and behavioral computing.
Official synopsis Publisher
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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