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Recognizing Dynamic Academic Impacts of Scholars Based on Cooperative Network |
Fan Ruxia1(), Zeng Jianxun1, Gao Yaruixi2 |
1Institute of Scientific and Technical Information of China, Beijing 100038, China 2China Defense Science and Technology Information Center, Beijing 100142, China |
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Abstract [Objective] This paper tries to identify the high cooperative scholars and their dynamic academic impacts with the help of high cooperative scholar recognition algorithm and the scholar impact recognition algorithm. [Methods] First, we identified the high cooperation scholars based on the number of collaborators. Then, we estimated the impacts of these scholars and their teams with the amount of publications and degree of centrality. [Results] The number of highly cooperative scholars varied among the teams. The dynamic academic impacts of highly cooperative scholars were either growing steadily or fluctuating maturely. [Limitations] Only used two indicators to measure the impacts of scholars. More indicators were needed to analyze the complex cases. [Conclusions] The proposed method could effectively identify the highly cooperative scholars of the team and their dynamic academic impacts.
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Received: 29 December 2016
Published: 24 May 2017
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