書(shū)目名稱(chēng) | Social Computing and Behavioral Modeling | 編輯 | Michael J. Young,John Salerno,Huan‘Liu | 視頻video | http://file.papertrans.cn/870/869352/869352.mp4 | 概述 | Integrates an interdisciplinary audience comprised of researchers, practitioners, and graduate students from social science, behavioral science, computer science, psychology, cultural study, informati | 圖書(shū)封面 |  | 描述 | 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 indivi | 出版日期 | Conference proceedings 2009 | 關(guān)鍵詞 | Computer; Evaluation; Pattern Mining; Sage; classification; computational cultural study; group profiling | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4419-0056-2 | isbn_softcover | 978-1-4419-5491-6 | isbn_ebook | 978-1-4419-0056-2 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines |
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