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A Comparative Study on the Centrality Measures for Analyzing Research Collaboration Networks

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2014, 31(3), pp.153~179
  • DOI : 10.3743/KOSIM.2014.31.3.153
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 19, 2014
  • Accepted : September 5, 2014
  • Published : September 30, 2014

Lee, Jae Yun ORD ID 1

1명지대학교

Accredited

ABSTRACT

This study explores the characteristics of centrality measures for analyzing researchers’ impact and structural positions in research collaboration networks. We investigate four binary network centrality measures (degree centrality, closeness centrality, betweenness centrality, and PageRank), and seven existing weighted network centrality measures (triangle betweenness centrality, mean association, weighted PageRank, collaboration h-index, collaboration hs-index, complex degree centrality, and c-index) for research collaboration networks. And we propose SSR, which is a new weighted centrality measure for collaboration networks. Using research collaboration data from three different research domains including architecture, library and information science, and marketing, the above twelve centrality measures are calculated and compared each other. Results indicate that the weighted network centrality measures are needed to consider collaboration strength as well as collaboration range in research collaboration networks. We also recommend that when considering both collaboration strength and range, it is appropriate to apply triangle betweenness centrality and SSR to investigate global centrality and local centrality in collaboration networks.

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