Title :
Political Communities in Russian Portion of Liveournal
Author :
Semenov, Alexander ; Veijalainen, Jari ; Hajeer, Mustafa ; Dasgupta, Dipankar
Author_Institution :
Fac. of Inf. Technol., Univ. of Jyvaskyla, Jyvaskyla, Finland
Abstract :
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.
Keywords :
graph theory; politics; social networking (online); Russian portion; active LJ user profiles; graph search; live journal site; political communities; social network data; Computational intelligence; Scientific computing; LiveJournal; Social media analysis; distributed clustering; evolutionary clustering; graph clustering;
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/CSCI.2014.61