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TOWARD COLLECTIVE INTELLIGENCE OF ONLINE COMMUNITIES: A PRIMITIVE CONCEPTUAL MODEL
作者单位:Shuangling LUO,Taketoshi YOSHIDA(School of Knowledge Science, Japan Advanced Institute of Science and Technology, lshikawa 923-1292 Japan);Haoxiang XIA,Zhongtuo WANG(Institute of Systems Engineering, Dalian University of Technology, Dalian, 116024, China)  
基金项目:国家自然科学基金,ChineseScholarship Council to conduct this international collaboration,the conference of IEEE SMC 2008 
摘    要:

关 键 词:社区智能  人类  知识网络  智能系统
收稿时间:10 October 2008

Toward collective intelligence of online communities: A primitive conceptual model
Authors:Shuangling Luo  Haoxiang Xia  Taketoshi Yoshida  Zhongtuo Wang
Institution:1. School of Knowledge Science, Japan Advanced Institute of Science and Technology, lshikawa 923-1292 Japan
2. Institute of Systems Engineering, Dalian University of Technology, Dalian, 116024, China
Abstract: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.
Keywords:Community intelligence  online community  knowledge supernetwork  knowing  knoware
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