Co-authorship Network of Institutions in Iranian Knowledge and Information Science Papers

This paper tries to analyse and visualize the co-authorship network of institutions in 1351 papers published in 7 knowledge and information science journals in Iran from 1387 through 1391.
In this paper, we use scientometric and social network analysis to study the collaboration network of institutions. Overall structure of the network was investigated using a few macro-level metrics like density, connectedness, clustering coefficient, components, mean distance and diameter. Additionally, centrality metrics include degree centrality, betweenness centrality, closeness sentrality, eigenvector, number of adjacent nodes as well as productivity measure were adopted to analyze the performance and status of institutions in the network. UCINET software was utilized for data analysis.
Findings of the study revealed that the majority of papers (68.8%) are multi-authored and publications by two authors are the most common type of co-authorship (45.22%). Based on the findings, 63.4% of publications in 7 journals were published through inter-institutional collaboration, which shows that Iranian KIS researchers tend to collaborate more with researchers from other institutions. The co-authorship network of institutions in Iranian KIS papers contains 218 vertices and 1002 cross-institutional collaboration links.