Analyzing Academic Community Based on Co-author Network
Qing Yaxian1(), Li Rui1,2, Wu Huayi1,2
1State Key Laboratory of Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China 2Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
[Objective] This paper aims to categorize and evaluate the academic communities and identify their development and changing rules by analyzing the co-author network. [Methods] First, we used the fast community discovering algorithm to locate the academic communities from the co-author network. Then, we proposed an index to evaluate the academic impacts of scholars from the retrieved academic communities. Finally, we chose three most influential communities to explore their life cycles. [Results] Based on the data of the Journal of Annals of the Association of American Geographers, the proposed index could effectively identify leading researchers as well as the changing trends of research topics. [Limitations] We only collected data from one journal, which might yield in-complete results. [Conclusions] The proposed method could analyze the academic community from various aspects and provide scientific knowledge for scholars from different fields.
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