| 书目名称 | Social Computing, Behavioral Modeling, and Prediction | | 编辑 | Huan Liu,John J. Salerno,Michael J. Young | | 视频video | | | 概述 | Presents material from a unique workshop focused on employing social computing for behavioral modeling and prediction.Integrates an interdisciplinary audience and welcomes researchers, practitioners, | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Conference proceedings 2008 | | 关键词 | Clustering; Internet; Operations Research; Social computing; behavioral modeling and prediction; calculus | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-77672-9 | | isbn_softcover | 978-1-4419-4597-6 | | isbn_ebook | 978-0-387-77672-9 | | copyright | Springer-Verlag US 2008 |
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发表于 2025-3-21 16:58:09
