• DocumentCode
    602534
  • Title

    Complex physics model on prediction of life cycle of social network

  • Author

    Yingqiong Gu

  • fYear
    2013
  • fDate
    20-22 Jan. 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Currently, social network owns the hottest topic in people´s life. The real system belongs to the complex physics model and data-mining area. Social network, like facebook.com, myspace.com and twitter.com, is a real-time complex system. Author tries to introduce a model [1] to predict the life cycle of the social network. A social network is a social structure made up of a set of actors (such as individuals or organizations) and the dyadic ties between these actors. The social network perspective provides a clear way of analyzing the structure of whole social entities. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
  • Keywords
    data analysis; social networking (online); social sciences computing; Facebook; Myspace; complex physics model; data mining area; life cycle prediction; network dynamics; social entity; social network analysis; Arrays; Data models; Heating; Mathematical model; Physics; Predictive models; Social network services; Complex Physics Model [3]; Life cycle[4]; Social Network [2];
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications Technology (ICCAT), 2013 International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-5284-0
  • Type

    conf

  • DOI
    10.1109/ICCAT.2013.6522013
  • Filename
    6522013