Studying Knowledge Dissemination of Online Q&A Community with Social Network Analysis
Wang Zhongyi1, Zhang Heming1, Huang Jing2, Li Chunya3()
1School of Information Management, Central China Normal University, Wuhan 430079, China 2Wuhan Polytechnic, Wuhan 430074, China 3School of Business, Nantong Institute of Technology, Nantong 226002,China
[Objective]This paper analyzes the social network structure and knowledge dissemination mechanism of an online Q&A community, aiming to reveal the role of network nodes, and improve the learning efficiency. [Methods] First, we used the social network analysis and the entropy weight methods to describe the opinion leader’s knowledge and influence. Then, we built a knowledge dissemination model based on the Cowan model for the Q&A community. Finally, we examined the internal knowledge learning results of the network through system simulation. [Results] Ⅰ. The nodes with less knowledge had higher learning efficiency in the target network; Ⅱ. The knowledge volumes of some nodes increased rapidly, while those of the nodes with larger knowledge stock increased slowly; Ⅲ. The knowledge dissemination rate of this network has been decreasing; Ⅳ. There is strong correlation between knowledge increase and the index of knowledge and communication abilities. [Limitations] The dynamic random reconnection of network was not examined in this paper. [Conclusions] This paper offers practical advice to improve users’ learning experience in the online Q&A community.
王忠义, 张鹤铭, 黄京, 李春雅. 基于社会网络分析的网络问答社区知识传播研究[J]. 数据分析与知识发现, 2018, 2(11): 80-94.
Wang Zhongyi,Zhang Heming,Huang Jing,Li Chunya. Studying Knowledge Dissemination of Online Q&A Community with Social Network Analysis. Data Analysis and Knowledge Discovery, 2018, 2(11): 80-94.
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