%A Tan Min, Xu Xin, Zhao Xing %T Exploring the Co-recommendation Relationship and Its Core Structure Features of Academic Blogs——Taking ScienceNet.cn Blog as an Example %0 Journal Article %D 2015 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2015.07.04 %P 24-30 %V 31 %N 7-8 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4104.shtml} %8 2015-08-25 %X

[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.