%A Wang Zhongyi,Zhang Heming,Huang Jing,Li Chunya %T Studying Knowledge Dissemination of Online Q&A Community with Social Network Analysis %0 Journal Article %D 2018 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2018.0293 %P 80-94 %V 2 %N 11 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4581.shtml} %8 2018-11-25 %X

[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.