Skip to main navigation Skip to search Skip to main content

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

  • School of Management, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)291-307
Number of pages17
JournalScientometrics
Volume101
Issue number1
DOIs
StatePublished - Oct 2014
Externally publishedYes

Keywords

  • Centrality measure
  • Co-authorship network
  • Collaborative relationship distribution
  • Community
  • Lambda sets

Fingerprint

Dive into the research topics of 'Cext-N index: a network node centrality measure for collaborative relationship distribution'. Together they form a unique fingerprint.

Cite this