[Objective] This paper examines the content using behavior of an academic social network system. [Methods] First, we collected popular blog posts from Sciencenet.cn. Second, we classified these contents by their features. Finally, the user-content relationship and content contributors’ characteristics were explored with the help of analysis of variance and co-relation tests. [Results] We found that users were more interested in the posts exchanging opinion, as well as those sharing teaching and research experience. Meanwhile, there was a significant correlation between the number of comments and recommendations most posts received. [Limitations] We studied one academic social network system in Chinese and only analyzed its users’ reading behaviors. More research is needed to investigate other behaviors. [Conclusions] Many users exchange views on the academic social network system. These readers are more likely to recommend posts with their own comments to others.
王曰芬,贾新露,傅柱. 学术社交网络用户内容使用行为研究*——基于科学网热门博文的实证分析[J]. 现代图书情报技术, 2016, 32(6): 63-72.
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