• DocumentCode
    1816567
  • Title

    Centrality and Power among Website Users: A Social Network Analysis Application

  • Author

    McGrath, G. Michael

  • Author_Institution
    Centre for Tourism & Services Res., Victoria Univ., Melbourne, VIC, Australia
  • Volume
    4
  • fYear
    2009
  • fDate
    29-31 Aug. 2009
  • Firstpage
    562
  • Lastpage
    567
  • Abstract
    A major feature of the emergence of Web 2.0 is the proliferation of dasiaconsumer-generated contentpsila (CGC) websites, often established as alternatives to corporate or dasiaofficialpsila sites. In this paper, we report on a preliminary study designed to demonstrate how techniques drawn from dasiaSocial Network Analysispsila (SNA) and artificial intelligence might be employed to develop an understanding of the influence relationships and hierarchies within these websites. Armed with this knowledge, organizations may be able to develop strategies as to how they might best co-exist and deal with relevant CGC sites.
  • Keywords
    Internet; artificial intelligence; social networking (online); Web 2.0; Website users; artificial intelligence; consumer-generated content proliferation; social network analysis; consumer-generated content; influence strategies; social network analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.190
  • Filename
    5283887