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论文成果
Toward collective intelligence of online communities: A primitive conceptual model
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论文类型: 期刊论文
发表时间: 2009-06-01
发表刊物: JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING
收录刊物: SCIE、EI
卷号: 18
期号: 2
页面范围: 203-221
ISSN号: 1004-3756
关键字: Community intelligence; online community; knowledge supernetwork; knowing; knoware
摘要: Inspired by the ideas of Swarm Intelligence and the "global brain", a concept of "community intelligence" is suggested in the present paper, reflecting that some "intelligent" features may emerge in a Web-mediated online community from interactions and knowledge-transmissions between the community members. This possible research field of community intelligence is then examined under the backgrounds of "community" and "intelligence" researches. Furthermore, a conceptual model of community intelligence is developed from two views. From the structural view, the community intelligent system is modeled as a knowledge supernetwork that is comprised of triple interwoven networks of the media network, the human network, and the knowledge network. Furthermore, based on a dyad of knowledge in two forms of "knowing" and "knoware", the dynamic view describes the basic mechanics of the formation and evolution of "community intelligence". A few relevant research issues are shortly discussed on the basis of the proposed conceptual model.

王众托

教授   博士生导师   硕士生导师

性别: 男

毕业院校:清华大学

所在单位:经济管理学院

学科:管理科学与工程. 系统工程. 系统分析与集成

电子邮箱:wangzt@dlut.edu.cn

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