Towards multiple identity detection in social networks

  • Authors:
  • Kahina Gani;Hakim Hacid;Ryan Skraba

  • Affiliations:
  • University Blaise Pascal, Clermont-Ferrand 2,LIMOS UMR, Clermont-Ferrand, France;Bell Labs, Nozay, France;Bell Labs, Nozay, France

  • Venue:
  • Proceedings of the 21st international conference companion on World Wide Web
  • Year:
  • 2012

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Abstract

In this paper we discuss a piece of work which intends to provide some insights regarding the resolution of the hard problem of multiple identities detection. Based on hypothesis that each person is unique and identifiable whether in its writing style or social behavior, we propose a Framework relying on machine learning models and a deep analysis of social interactions, towards such detection.