Statistical characteristics of an evolving co-citation network: The distribution of betweenness centrality

Deming Lin, Chaomei Chen, Zeyuan Liu

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

We investigate statistical characteristics of an evolving co-citation network, primarily in term of the dynamics of betweenness centrality measures, we generate co-citation network of papers published in journal of Scientometrics. Our study shows that the overall co-citation network is a small-world and scale-free network. The co-citation network has a relatively small number of nodes with high betweenness centrality, most nodes have low betweeness centrality scores. Furthermore, the betweenness centrality distribution of the co-citation network follows segmented Zipf-Pareto distribution. We found a tendency that high betweenness centrality measures tend to reduce over time.

Original languageEnglish
Pages552-560
Number of pages9
Publication statusPublished - 2009
Event12th International Conference on Scientometrics and Informetrics, ISSI 2009 - Rio de Janeiro, Brazil
Duration: 2009 Jul 142009 Jul 17

Other

Other12th International Conference on Scientometrics and Informetrics, ISSI 2009
CountryBrazil
CityRio de Janeiro
Period09/7/1409/7/17

All Science Journal Classification (ASJC) codes

  • Information Systems

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