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

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.

DOI: 10.1007/s11192-014-1358-8

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Cite this paper

@article{Zhang2014CextNIA, title={Cext-N index: a network node centrality measure for collaborative relationship distribution}, author={Guijie Zhang and Luning Liu and Yuqiang Feng and Zhen Shao and Yongli Li}, journal={Scientometrics}, year={2014}, volume={101}, pages={291-307} }