Analyzing social media friendship for personalization

  • Authors:
  • Jonghyun Han;Hyunju Lee

  • Affiliations:
  • Gwangju Institute of Science and Technology, Gwangju, South Korea;Gwangju Institute of Science and Technology, Gwangju, South Korea

  • Venue:
  • Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media
  • Year:
  • 2012

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Abstract

Since social media users have various purposes such as tightening friendship and obtaining information, it might be easier to model a user's interest and to provide personalized information if the user's purpose can be inferred. In this paper, we analyze the friendship of Twitter users and its effects on Twitter usage. According to our analysis, although the number of offline friends is smaller than that of online friends, a user more actively responds to the microblogs posted by the offline friends. We expect that our analysis is helpful to model a user's social behavior and interest.