Document Type : Research Paper
Authors
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
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