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EXPLORATORY ANALISYSIS OF THE ILPnet2 SOCIAL NETWORK AbstractIn this paper we present techniques for social network analysis and interpret the results of the analysis of the ILPnet2 scientific publications database. The analysis was performed with the Pajek software for large (social) network analyses. The central entity of our analysis is the author, related to other authors by co-authorship links. The author is weighted by the number of his/her publications (registered in ILPnet2). In this paper we present cohesion, brokerage and ranking techniques used in social network analysis, illustrated by examples from the ILPnet2 domain
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