Disciplinary Interaction Analysis of Academic Blogs——Taking ScienceNet.cn Blog as an Example
Xu Xin1, Zhai Shanshan2, Yao Zhanlei1
1 Department of Information Science, Business School, East China Normal University, Shanghai 200241, China;
2 School of Information Management, Central China Normal University, Wuhan 430079, China
[Objective] By analyzing the academic blog recommendations and comments, this research explores interdisciplinary interaction in the online academic community. [Methods] The whole data set in 2013 of ScienceNet.cn Blog is collected firstly. Then the overall network, the local network, and the individual network about disciplines recommendation networks and disciplines comments networks are analyzed by social network analysis method. [Results] The research discovers that recommendations behavior is more frequently than comments behavior on the interaction mode. On the centrality of interaction network, disciplines recommendation matrix has significant differences from disciplines comments matrix in the in-degree centrality, out-degree centrality and in-closeness centrality, and there is no significant difference from disciplines comments matrix in betweenness centrality and out-closeness centrality. On the interaction parameter correlation, the correlation of disciplines recommendation numbers and disciplines recommendation network parameters is similar to the correlation of disciplines comments numbers and disciplines comments network parameters. [Limitations] The deep explanation of interaction is lack between discipline nodes with high degree centrality and the other nodes. [Conclusions] The academic blog is diversified and has a low threshold, large-span effect of exchange between scholars of different disciplines.
许鑫, 翟姗姗, 姚占雷. 学术博客的学科交互实证分析——以科学网博客为例[J]. 现代图书情报技术, 2015, 31(7-8): 13-23.
Xu Xin, Zhai Shanshan, Yao Zhanlei. Disciplinary Interaction Analysis of Academic Blogs——Taking ScienceNet.cn Blog as an Example. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2015.07.03.
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