Understanding user behavior in a local social media platform by social network analysis

  • Authors:
  • Tingan Tang;Matti Hämäläinen;Antti Virolainen;Juho Makkonen

  • Affiliations:
  • Software Business and Engineering Institute, Tekniikantie, Espoo, Finland;Software Business and Engineering Institute, Tekniikantie, Espoo, Finland;Konemiehentie, Espoo, Finland;Konemiehentie, Espoo, Finland

  • Venue:
  • Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
  • Year:
  • 2011

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Abstract

Characterizing user behavior by social network analysis in social media has been an active research domain for a long time. However, much previous research has focused on the large-scale global social media such as Facebook, Wikipedia and Twitter. Comparatively, little research has been done for the local social media. In this paper, We study the user behavior by social network analysis in a campus-based social media platform for exchanging goods and services. We also study the correlation between social networks and users' exchanging behaviors. Finally, we discuss the implications of our findings and future work.