Political communities in Russian portion of Liveournal


In this article, we describe an analysis of social network data set that was collected from the Live Journal (LJ) site during autumn 2013. Initially, we collected 114 politically active LJ user profiles, and friends of their friends using the graph search, i.e. those users who are two hops away from those on the original list. A graph was formed from the data where a node exists for each collected profile, and for each 'friend' and 'friend-of-friend' relationship, an arc connects the corresponding nodes. The graph features ca. 1,6M nodes and 52 million arcs. The goal result is the clusters of the graph and the connections between these clusters. Further analysis have been done on classification of in and out degree and its affect on the clusters. © 2014 IEEE.

Publication Title

Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014