Abstract

This paper is devoted to the analysis of data and links in social networks. The approach of representation of a social network in the form of a graph is considered. The algorithms for finding communities and main nodes ("hubs"), which are the accounts that have the greatest impact on communities, have been explored and planned for finalization. Existing software environments for visualizing social network data are explored, a software package is developed.

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