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| Research on the Interaction of Collaborative Order at Different Levels of Social System and Knowledge System in OKC —An Empirical Analysis Based on a VAR Model |
| Qiu Jiangnan, Cai Chengjie, Yang Chang, Li Yan |
| School of Economics and Management, Dalian University of Technology, Dalian 116024 |
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Abstract In the Web2.0 era, users in the Online Knowledge Community (OKC) have formed social and knowledge systems individually as well as socially. The interaction of these two systems has become a concern for the OKC platform. Based on the theories of self-organization and complex adaptive systems, this paper constructs a collaborative order model of social and knowledge system at a level different from the micro-level of the two systems. In this paper, we use Wikipedia, a representative OKC, as a research platform, and apply the vector autoregression (VAR) method to construct four interactive interaction models among the different levels. The research results show that the micro-level of the social system has a significant interactive effect on the meso-level and macro-level of the knowledge system, and the micro-level of the knowledge system has a significant impact on the macro-level of the social system. This study enhances the existing research on OKC system ordering, and at the same time provides inspiration for the OKC platform construction and management process.
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Received: 05 February 2020
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