The Analysis of the Iranian Chemistry co-Authorship Network using Centrality Measure
Author(s):
Abstract:
Aims
This research aimed to examine the status of co-authorship social network centrality measures in 3 Iranian Chemistry journals indexed in Thomson Reuter’s database. Method
Research population includes all Iranian researchers that had published at least one article in the three Iranian Chemistry journals. Results
The results of the study showed that significant correlation existed between productivity and all centrality measures at p=0/001, except for closeness centrality. The study also revealed that about 32% of the Productivity variance was determined by Centrality measures. Conclusion
It can be concluded that the Iranian Chemistry co-authorship social network is relatively dense in analogy with that of areas such as Management, Information Science and Electrical and Electronic Engineering.Keywords:
Centrality , Co , authorship network , Social networks , analysis , Chemistry , Iran
Language:
Persian
Published:
Journal of Studies in Library and Information Science, Volume:6 Issue: 1, 2014
Pages:
89 to 106
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