Caspian Journal of Scientometric

Background and aim: The aim of this research was to map the co-authorship network structure of the Persian Scientific Research Journals' (Scirj) authors and identify the most important authors, co-authorship pattern and the network integration in Faculty of Management of Tehran University.
Material and methods: This scientometric study was conducted with social network analysis (SNA) approach and using SNA indices such as cooperation degree, cooperation index, node size, degree centrality, betweenness centrality, eigenvector centrality, clustring coefficient and so on.  Data were analyzed using NodeXL. The related articles from 2011 to 2015 (five-year period) were studied.
Findings: Among the studied journals, the highest cooperation index was belonged to Public Administration Quarterly and the highest cooperation degree was related to Business and Management Quarterly and IT Management Quarterly at the same time. The co-authorship pattern of the authors was in the form of two or three authors. In general, based on the the density obtained from the network and its low level, it can be found that there is no much co-authorship relationship and cooperation between the authors of the Persian journals of the faculty of management.
Conclusion: There is no much co-authorship relationship and cooperation between the authors of the Persian journals. It seems that studying the co-authorship network of the Persian journals' authors in Faculty of Management of Tehran University can cause to map the future pattern of the scientific progress and identify  the most important and key authors of this field for performing the related research.