• DocumentCode
    145222
  • 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
  • Volume
    1
  • fYear
    2014
  • fDate
    10-13 March 2014
  • Firstpage
    314
  • Lastpage
    319
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/CSCI.2014.61
  • Filename
    6822128