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| Auto-Identifying Research Area Groups in Science Map |
Wang Xiaomei1( ),Deng Qiping1,2 |
1National Science Library, Chinese Academy of Sciences, Beijing 100190, China
2University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract [Objective] This paper aims to establish an automatic method to identify research area groups and outline the science map quickly. [Methods] First, we used feature words to measure topic similarity, and then divided adjacent research areas with similar/related topics into groups. Second, we designed an effectiveness evaluation index to compare different optimal parameters combination. [Results] The proposed method could identify research area groups in science maps effectively. [Limitations] Our study was conducted with data from Mapping Science Structure 2015. More research is needed to investigate the proposed method’s compatibility with other cases. [Conclusions] The proposed method could automatically identify research area groups in the science map.
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Received: 12 November 2015
Published: 13 May 2016
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