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New Technology of Library and Information Service  2016, Vol. 32 Issue (4): 48-55    DOI: 10.11925/infotech.1003-3513.2016.04.06
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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.

Key wordsScience map      Research area      Research area groups      Automatic detection     
Received: 12 November 2015      Published: 13 May 2016

Cite this article:

Wang Xiaomei,Deng Qiping. Auto-Identifying Research Area Groups in Science Map. New Technology of Library and Information Service, 2016, 32(4): 48-55.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2016.04.06     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2016/V32/I4/48

[1] De Solla Price D J. Networks of Scientific Papers[J]. Science, 1965, 149(3683): 510-515.
[2] Carpenter M P, Narin F.Clustering of Scientific Journals[J]. Journal of the American Society for Information Science, 1973, 24(6): 425-436.
[3] Small H, Griffith B C.The Structure of Scientific Literatures I: Identifying and Graphing Specialties[J]. Science Studies, 1974, 4(1): 17-40.
[4] 陈超美. 科学前沿图谱知识可视化探索[M]. 北京: 科学出版社, 2014.
[4] (Chen Chaomei.Mapping Scientific Frontiers: The Quest for Knowledge Visualization [M]. Beijing: Science Press, 2014.)
[5] 王小梅, 韩涛, 王俊, 等. 基于同被引分析的科学结构图[J]. 科学观察, 2009, 4(4): 1-15.
[5] (Wang Xiaomei, Han Tao, Wang Jun, et al.Mapping Science Based on Co-citation Analysis[J]. Science Focus, 2009, 4(4): 1-15.)
[6] 潘教峰, 张晓林, 王小梅, 等. 科学结构地图2009[M]. 北京: 科学出版社, 2010: 12-18.
[6] (Pan Jiaofeng, Zhang Xiaolin, Wang Xiaomei, et al.Mapping Science Structure 2009[M]. Beijing: Science Press, 2010: 12-18.)
[7] 潘教峰, 张晓林, 王小梅, 等. 科学结构地图2012[M]. 北京: 科学出版社, 2013: 13-18.
[7] (Pan Jiaofeng, Zhang Xiaolin, Wang Xiaomei, et al.Mapping Science Structure 2012[M]. Beijing: Science Press, 2013: 13-18.)
[8] 王小梅, 韩涛, 王俊, 等. 科学结构地图2015[M].北京: 科学出版社, 2015: 10-34.
[8] (Wang Xiaomei, Han Tao, Wang Jun, et al.Mapping Science Structure 2015[M]. Beijing: Science Press, 2015: 10-34.)
[9] NISTEP. Science Map 2008[R/OL]. [2010-05-11]. .
[10] Boyack K W, Klavans R.Creation of a Highly Detailed, Dynamic, Global Model and Map of Science[J]. Journal of the Association for Information Science and Technology, 2014, 65(4): 670-685.
[11] NISTEP. Science Map 2010 & 2012 [R/OL]. [2014-07-11]. .
[12] Alchemy API. AlchemyLanguage Features [EB/OL]. [2014- 10-15]. .
[13] 周昭涛. 文本聚类分析效果评价及文本表示研究[D]. 北京: 中国科学院研究生院, 2005.
[13] (Zhou Zhaotao.Quality Evaluation of Text Clustering Result and Investing on Text Representation [D]. Beijing: The Graduate School of Chinese Academy of Sciences, 2005.)
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