• DocumentCode
    531545
  • Title

    Towards Understanding How Personality, Motivation, and Events Trigger Web User Activity

  • Author

    Vavliakis, Konstantinos N. ; Symeonidis, Andreas L. ; Mitkas, Pericles A.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • Volume
    1
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    615
  • Lastpage
    618
  • Abstract
    Web 2.0 provided internet users with a dynamic medium, where information is updated continuously and anyone can participate. Though preliminary analysis exists, there is still little understanding on what exactly stimulates users to actively participate, create and share content in online communities. In this paper we present a methodology that aspires to identify and analyze those events that trigger web user activity, content creation and sharing in Web 2.0. Our approach is based on user personality and motivation, and on the occurrence of events with a personal or global impact. The proposed methodology was applied on data collected from Flickr and analysis was performed through the use of statistics and data mining techniques.
  • Keywords
    Internet; data mining; social aspects of automation; Internet user; Web 2.0; Web user activity; content creation; data mining; dynamic medium; online community; statistics; user personality; Crowdsourcing; Data Mining; Flickr; Sharing; Social Media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.125
  • Filename
    5616449