• DocumentCode
    2778147
  • Title

    Modeling and Analyzing User Behavior of Privacy Management on Online Social Network: Research in Progress

  • Author

    Lee, Ki Jung ; Song, Il-Yeol

  • Author_Institution
    iSchool at Drexel Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA
  • fYear
    2011
  • fDate
    9-11 Oct. 2011
  • Firstpage
    1344
  • Lastpage
    1351
  • Abstract
    There are diversified threats to privacy in the area of online social network. Unlike traditional e-commerce situation, privacy on online social networks can be threatened by published communication open to untargeted audience and public disclosure of personally identifiable information. Moreover, users of online social network encounter greater threats to their privacy since management of privacy depends on both service vendors and users themselves. In order to better understand the mechanism of privacy on online social network, this paper explores a model of privacy related issues in regards to user behavior on online social networks, based on frequently used theories and research constructs.
  • Keywords
    data privacy; social networking (online); user modelling; online social network; privacy management; user behavior modeling; Context; Internet; Mathematical model; Numerical analysis; Privacy; Social network services; Unified modeling language; online social network; privacy; privacy management; structural equation modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4577-1931-8
  • Type

    conf

  • DOI
    10.1109/PASSAT/SocialCom.2011.80
  • Filename
    6113306