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Journal: Zbornik Veleučilišta u Rijeci - Journal of the Polytechnic of Rijeka (Vol.3, No. 1)

Publication Date:

Authors : ; ;

Page : 159-178

Keywords : social networks analysis; co-authorship networks; community detection; centrality measures;

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In this paper we describe preliminary co-authorship network analysis performed for the four constituents of the University of Rijeka. Co-authorship network describes scientific collaboration among scientists. It is constructed in a way that each scientist is represented as a node and a link between two nodes is constructed if these two scientists collaborate on the same scientific publication. The weight on the link represents the number of scientific publications. The goal of this experiment has been to analyse and compare scientific collaboration among several constituents of the University of Rijeka. For this experiment the methods of complex networks analysis have been used. In the first phase of the experiment the dataset from web pages: Croatian Scientific Bibliography (CROSBI) is collected. In the second phase of the experiment five networks are constructed and analysed. The numeric values of the global network measures are analysed first. After that, the communities at the mesoscale network level are identified and visualised. At the end, central nodes are found (according to the three centrality measures). It is shown that all networks have similar global properties. However, there are differences between networks in the community structure. According to the local-level analysis, the number of publications among constituents vary substantially.

Last modified: 2020-08-03 14:26:42