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New Technology of Library and Information Service  2013, Vol. 29 Issue (1): 57-62    DOI: 10.11925/infotech.1003-3513.2013.01.09
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On the Scientific Research Teams Identification Method Taking Co-authorship of Collaboration as the Source Data
Shen Gengyu, Huang Shuiqing, Wang Dongbo
College of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
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Abstract  In the research on personal and institutional evaluation, it is difficult to guarantee the reliability and accuracy of identifying the scientific research team.This paper applies the vector space model into the identification of scientific research teams within the co-authorship network. Under the premise of considering the authorship order in the paper, and by constructing the vector space of papers and authors, the collaboration relationship is measured by calculating the degree of similarity between author vectors. Then,this paper analyses the collaboration network with the analytical approach of cohesion sub-group in social network analysis. At last,by choosing all its faculty of a department in a university as research object,the present research accurately identifies all the scientific research teams that exist in the institution and the rationality of this method is verified.
Key wordsVSM      Degree of collaboration between authors      Cliques analysis      Mining of the scientific research team      Co-authorship network     
Received: 08 January 2013      Published: 29 March 2013
:  TP391  

Cite this article:

Shen Gengyu, Huang Shuiqing, Wang Dongbo. On the Scientific Research Teams Identification Method Taking Co-authorship of Collaboration as the Source Data. New Technology of Library and Information Service, 2013, 29(1): 57-62.

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