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Journal of library and information science in agriculture ›› 2018, Vol. 30 ›› Issue (12): 47-51.doi: 10.13998/j.cnki.issn1002-1248.2018.12.008

• Network technology • Previous Articles     Next Articles

Empricial Study of the Research Team Discovery Based on 2-Mode Bipartite Graph --Illustrated by the Case of the Research Teams Discovery in PIS Field

JIAO Hong1, SHAO Zuoyun2, ZHOU Na1   

  1. 1.School of Communication, Qufu Normal University, Rizhao 276826,China;
    2.Qufu Normal University Library, Rizhao 276826,China
  • Received:2018-08-27 Online:2018-12-05 Published:2019-01-03

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Abstract: By using of Ucinet software, this paper finds out several representative research teams in persionalized information service (PIS) field through establishing the 2-mode bipartite graph of key words and author, based on the 7426 research papers about PIS from 2008--2017 in Chinese academic literature web database. We also find out the team core characters and the subject research hotspots of the PIS fields according to the degree centrality index.This paper give out a new way for discovering the research teams using the 2-mode bipartite network.

Key words: social network analysis, 2-mode bipartite graph, research teams, research team discovery, persionalized information service

CLC Number: 

  • G353.1
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