Exploring the Co-recommendation Relationship and Its Core Structure Features of Academic Blogs——Taking ScienceNet.cn Blog as an Example
Tan Min1, Xu Xin2, Zhao Xing2
1 Department of Information Resource Management, Zhejiang University, Hangzhou 310027, China;
2 Department of Information Science, Business School, East China Normal University, Shanghai 200241, China
[Objective] Try to combine information recommendation and co-occurrence into a new informational relation, namely information co-recommendation in online academic blogs. [Methods] Taking ScienceNet.cn Blog as an example, use network analysis as the basis of quantitative analysis to explore the features of co-recommendation in academic blogs. [Results] The empirical research of ScienceNet.cn Blog shows that compared to the other types of networks, the case has the structural characteristics of high cohesiveness, active interaction and balanced strength; the network takes node group as the network core, and the relative balance occurs in the core group. [Limitations] Co-recommendations have different motivations and functions in different application fields. However, this paper only gives an empirical research on ScienceNet.cn. [Conclusions] The co-recommendation can be an option for future studies of academic blogs. This behavior presents more equality in the structure.
谭旻, 许鑫, 赵星. 学术博客共推荐关系及核心结构特性研究——以科学网博客为例[J]. 现代图书情报技术, 2015, 31(7-8): 24-30.
Tan Min, Xu Xin, Zhao Xing . Exploring the Co-recommendation Relationship and Its Core Structure Features of Academic Blogs——Taking ScienceNet.cn Blog as an Example. New Technology of Library and Information Service, 2015, 31(7-8): 24-30.
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