• DocumentCode
    2447295
  • Title

    Analyzing the Evolution of Social Groups in World of Warcraft®

  • Author

    Thurau, Christian ; Bauckhage, Christian

  • Author_Institution
    Visual & Social Media Group, Fraunhofer IAIS, St. Augustin, Germany
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    170
  • Lastpage
    177
  • Abstract
    This paper investigates the evolution of social structures in the game WORLD OF WARCRAFT®. We analyze 192 million recordings of 18 million characters belonging to 1.4 million teams, spanning a period of 4 years. Using a recent matrix factorization method, we extract lower dimensional data embeddings. The embeddings provide intuitively interpretable categorizations and we find a tendency towards guilds comprised of casual gamers. To our knowledge, this is the first study considering such a vast amount of data for analyzing groups in MMORPGs.
  • Keywords
    Internet; computer games; information retrieval; matrix decomposition; social networking (online); World of Warcraft® game; intuitively interpretable categorization; lower dimensional data extraction; massively multiplayer online role playing game; matrix factorization method; social group; Ear;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games (CIG), 2010 IEEE Symposium on
  • Conference_Location
    Dublin
  • Print_ISBN
    978-1-4244-6295-7
  • Electronic_ISBN
    978-1-4244-6296-4
  • Type

    conf

  • DOI
    10.1109/ITW.2010.5593358
  • Filename
    5593358
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2447295