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Vol.31 No.3
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A Comparative Study on the Centrality Measures for Analyzing Research Collaboration Networks

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2014, v.31 no.3, pp.153-179
https://doi.org/10.3743/KOSIM.2014.31.3.153

(2014). A Comparative Study on the Centrality Measures for Analyzing Research Collaboration Networks. Journal of the Korean Society for Information Management, 31(3), 153-179, https://doi.org/10.3743/KOSIM.2014.31.3.153
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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.

keywords
공동연구 네트워크, 공저 네트워크, 중심성 지수, 가중 네트워크, research collaboration networks, co-authorship networks, centrality measures, weighted networks

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