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Instance Analysis of QQ Group Chat Record Based on Social Network Analysis Method

Yuchen Shen 1, Zhu Gao 2, and Junhui Gao 3
1. Wuxi Big Bridge Academy, Wuxi, China
2. Software Engineering Institute, East China Normal University, Shanghai, China
3. Shanghai Center for Bioinformation Technology, Shanghai, China
Abstract—This paper uses social network analysis to analyze the QQ group “Harry Potter—Hogwarts”s chat record. It utilizes the software Netdraw to create a specified number of community structure, and adopts the Girvan-Newman algorithm to calculate the modules of different numbers of communities, thus deriving parameters such as the Degree, Eccentricity, Closeness, Betweeness,etc. of community central members in the QQ group. The results are generally compatible with the actual data.  
Index Terms—social network analysis, QQ group chat record, MySQL database, community structure, Netdraw
Cite: Yuchen Shen, Zhu Gao, and Junhui Gao, "Instance Analysis of QQ Group Chat Record Based on Social Network Analysis Method," Vol. 6, No. 4, pp. 221-226, November, 2015. doi: 10.12720/jait.6.4.221-226
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