• DocumentCode
    1910166
  • Title

    Online Social Network Popularity Evolution: An Additive Mixture Model

  • Author

    Couronne, T. ; Stoica, Atanasia ; Beuscart, Jean-Samuel

  • Author_Institution
    Orange Labs., Paris, France
  • fYear
    2010
  • fDate
    9-11 Aug. 2010
  • Firstpage
    346
  • Lastpage
    350
  • Abstract
    Nowadays, users of online platforms can manage their own visibility and therefore popularity by mixing self-publishing activities and social networking. If one can develop strategies for building a reputation, his success is not determined only by his actions but also by the context in which he is involved. His popularity may evolve during time and this can be caused by multiple reasons. In this study we try to understand the reasons behind the evolution of MySpace artists´ popularity. We use an additive mixture model in order to explain the variation of popularity between two snapshots of the same MySpace population. First we categorize the population into 5 clusters depending on their audience and authority in the first snapshot. Then we compute a model to assess the factors explaining the variation of popularity. We find that the evolution of the popularity, both in terms of audience and authority, is not explained by the same factors depending on the initial popularity.
  • Keywords
    publishing; social networking (online); MySpace artists; additive mixture model; online social network popularity evolution:; self publishing activities; Additives; Communities; Computational modeling; Construction industry; Mathematical model; MySpace; mixture model; myspace; online popularity dynamics; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on
  • Conference_Location
    Odense
  • Print_ISBN
    978-1-4244-7787-6
  • Electronic_ISBN
    978-0-7695-4138-9
  • Type

    conf

  • DOI
    10.1109/ASONAM.2010.48
  • Filename
    5562748