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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (4): 20-29    DOI: 10.11925/infotech.2096-3467.2017.04.03
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Analyzing Academic Community Based on Co-author Network
Yaxian Qing1(),Rui Li1,2,Huayi Wu1,2
1State Key Laboratory of Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
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Abstract  

[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.

Key wordsThe Journal of Annals of the Association of American Geographers      Academic Community      Lifecycle Analysis      Scholar Evaluation     
Received: 29 December 2016      Published: 24 May 2017

Cite this article:

Yaxian Qing,Rui Li,Huayi Wu. Analyzing Academic Community Based on Co-author Network. Data Analysis and Knowledge Discovery, 2017, 1(4): 20-29.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.04.03     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I4/20

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