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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/65034
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/65034

    Title: A Study on BDI-based Collective Crime Prevention in Virtual Communities
    Other Titles: 以BDI代理人架構為基礎之虛擬社群群體犯罪預防研究
    Authors: Yuan, Soe-Tsyr;Jhuang, Jyun-Cheng
    Keywords: Collective Crime;BDI Architecture;Theory of Differential Association;Theory of Social Learning;Network Science
    Date: 2010.04
    Issue Date: 2014-03-31 16:36:09 (UTC+8)
    Abstract: Collective crime is an emerging phenomenon along with collective intelligence soaring in recent years. In this paper, the notion of collective crime is regarded as a form of universally distributed crime originated from spontaneous interactions among online community users. The issues that collective crime addresses focus on deviant or criminal behavior existing in common groups or crowds rather than traditional topics at computer crime or cybercrime. In this research, we use the theories, "Differential Association" and "Social Learning", to form the conceptual foundation of the collective crime phenomena and model the dynamics of virtual communities with the BDI-based multi-agent approach to simulate the community social networks. Prevention of collective crime is then regarded as an evolving network function based on the micro level of function simulation and the macro level of network analysis with two controllable variables (initial crime rate and network size) and four indicators (average amount of crime skills, average cluster coefficient, average degree of top 10% users, and rate of users with degrees smaller than 10). Our research findings are believed to contribute to the prevention management of collective crime in virtual communities.
    Relation: 資訊管理學報,17(2),83-114
    Data Type: article
    Appears in Collections:[資訊管理學系] 期刊論文

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