• DocumentCode
    2896509
  • Title

    Analysis of Users´ Behavior on Web 2.0 Social Network Sites: An Empirical Study

  • Author

    Horng, Shwu-Min

  • Author_Institution
    Dept. of Bus. Adm., Nat. Chengchi Univ., Taipei, Taiwan
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    454
  • Lastpage
    459
  • Abstract
    The number of Social Network Sites (SNS) on Web 2.0 sites has been growing rapidly in recent years. This study analyzes data from three SNS in Taiwan. Several important measures available on Google Analytics are identified through interviews with the founders of the SNS and their daily data are collected. After removing outliers, correlation among measures and multiple regressions, analysis provides rationales for identifying several common users´ behavior patterns. One of the case companies is further divided into member and non-member users, and into before and after a business model change. The statistical results for these two comparisons demonstrate the significant connections between users´ behavior on SNS and the data collected from Google Analytics.
  • Keywords
    regression analysis; social networking (online); user interfaces; Google Analytics; Web 2.0; business model change; regression analysis; social network sites; user behavior analysis; Blogs; Cities and towns; Companies; Data analysis; Electronic mail; Information analysis; Information technology; Pattern analysis; Remote monitoring; Social network services; Google Analytics; multiple regressions; pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-6270-4
  • Type

    conf

  • DOI
    10.1109/ITNG.2010.248
  • Filename
    5501735