• DocumentCode
    3156835
  • Title

    Community evolution and engagement through assortative mixing in online social networks

  • Author

    Chung, Kon Shing Kenneth ; Piraveenan, Mahendra ; Uddin, Shahadat

  • Author_Institution
    Centre for Complex Syst. Res., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    724
  • Lastpage
    725
  • Abstract
    In this exploratory paper, we examine the evolution and engagement of an online community through a ten-year period. Data is collected from an online public discussion forum provided by a government-sponsored website specifically developed for community capacity building. We postulate that there are clear patterns of assortativity where similar actors engage in communication with each other over time. Results show that there is a clear pattern of networks losing their disassortative character in the early years followed by disassortative networks in the later years. The network-level results challenges government-level metrics of community-building success and suggests network analysis as an empirical avenue for understanding social processes involved in the very nature of community building.
  • Keywords
    government data processing; social networking (online); assortative mixing; community engagement; community evolution; community-building success; disassortative character; government-level metrics; government-sponsored Website; network-level results; online public discussion; online social networks; social processes; Buildings; Communities; Context; Correlation; Data mining; Market research; Social network services; Assortativity; Community Building; Community Evolution; Online Social Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.130
  • Filename
    6425676