Cext-N index: a network node centrality measure for collaborative relationship distribution

Guijie Zhang (), Luning Liu (), Yuqiang Feng (), Zhen Shao () and Yongli Li ()
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Guijie Zhang: Harbin Institute of Technology
Luning Liu: Harbin Institute of Technology
Yuqiang Feng: Harbin Institute of Technology
Zhen Shao: Harbin Institute of Technology
Yongli Li: Harbin Institute of Technology

Scientometrics, 2014, vol. 101, issue 1, No 14, 307 pages

Abstract: Abstract This paper focuses on methods to study the distribution of an author’s collaborative relationships among different communities in co-authorship networks. Based on the index of extensity centrality, we propose a new index and name it extensity centrality-Newman (Cext-N). Drawing upon a data set of three top journals (MISQ, ISR, JMIS) between 2010 and 2012 in Information Systems, we verify and describe the application and value of our approach. Due to the fact that the starting points among Cext-N and classical indices are quite different and a single index is not advocated in scientific evaluation, we can select the indices in actual application by considering their starting points to ensure the value of each index is taken into account.

Keywords: Centrality measure; Co-authorship network; Collaborative relationship distribution; Lambda sets; Community (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11192-014-1358-8

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