Analyzing clusters in the university of Montenegro collaboration network

In this paper we present the first case study on collaboration network of researchers at the University of Montenegro - UoM. We identify the largest clusters or groups of scientists that are interested in the same topic, using Girvan-Newman algorithm. The results show that these clusters constantly grow over the period 2005-2015 and at the moment they occupy more than 50% authors from the UoM. It indicates that there exists increasingly collaboration between authors from the UoM network. But, according to classification of real networks the UoM network is in “sub-critical” regime, and still far away from “connected” regime. The study is limited to the authors from the UoM and we do not consider any collaboration outside of the UoM. Also, we consider only papers published in the SCI, SCIE, SSCI, A&HCI and SCOPUS categories, because they are recognized as the most important for professional career of professors at the UoM.