Realtime analysis of information diffusion in social media

  • Authors:

  • Io Taxidou;Peter Fischer

  • Affiliations:

  • Web Science Group, CS Department, University of Freiburg, Germany;Web Science Group, CS Department, University of Freiburg, Germany

  • Venue:
  • Proceedings of the VLDB Endowment
  • Year:
  • 2013

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Abstract

The goal of this thesis is to investigate real-time analysis methods on social media with a focus on information diffusion. From a conceptual point of view, we are interested both in the structural, sociological and temporal aspects of information diffusion in social media with a twist on the real time factor of what is happening right now. From a technical side, the sheer size of current social media services (100's of millions of users) and the large amount of data produced by these users renders conventional approaches for these costly analyses impossible. For that, we need to go beyond the state-of-the-art infrastructure for data-intensive computation. Our high level goal is to investigate how information diffuses in real time on the underlying social network and the role of different users in the propagation process. We plan to implement these analyses with full and partially missing datasets and compare the cost and quality of both approaches.