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Toward collective intelligence of online communities: A primitive conceptual model

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Indexed by:期刊论文

Date of Publication:2009-06-01

Journal:JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING

Included Journals:SCIE、EI

Volume:18

Issue:2

Page Number:203-221

ISSN No.:1004-3756

Key Words:Community intelligence; online community; knowledge supernetwork; knowing; knoware

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.

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