• DocumentCode
    2545073
  • Title

    Finding Popular Friends in Social Networks

  • Author

    Fan Jiang ; Leung, Carson Kai-Sang ; Tanbeer, Syed K.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
  • fYear
    2012
  • fDate
    1-3 Nov. 2012
  • Firstpage
    501
  • Lastpage
    508
  • Abstract
    The emergence of social computing enables users to intersect social behaviour with computing systems and to create social conventions as well as social contexts through the use of software and technology. Social networking sites have become popular to facilitate collaboration and knowledge sharing between users. A rich set of information is embedded in these social media data. In this paper, we propose a data mining algorithm to help users to find popular friends in social networks. This can be considered as an application of data mining and social computing.
  • Keywords
    data mining; social networking (online); user interfaces; collaboration facilitation; data mining algorithm; knowledge sharing; social behaviour; social computing; social context; social convention; social networks; user finding; Data mining; Databases; Equations; Facebook; Mathematical model; Media; Social computing; data mining; social applications; social media; social network analysis and mining; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Green Computing (CGC), 2012 Second International Conference on
  • Conference_Location
    Xiangtan
  • Print_ISBN
    978-1-4673-3027-5
  • Type

    conf

  • DOI
    10.1109/CGC.2012.99
  • Filename
    6382863