Prediction of Attributes and Links in Temporal Social Networks

  • Authors:
  • Vladimir Ouzienko;Yuhong Guo;Zoran Obradovic

  • Affiliations:
  • Center for Information Science and Technology, Temple University, Philadelphia, PA 19122, USA. Email contact: zoran@ist.temple.edu;Center for Information Science and Technology, Temple University, Philadelphia, PA 19122, USA. Email contact: zoran@ist.temple.edu;Center for Information Science and Technology, Temple University, Philadelphia, PA 19122, USA. Email contact: zoran@ist.temple.edu

  • Venue:
  • Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
  • Year:
  • 2010

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Abstract

The analysis of social networks often assumes the time invariant scenario while in practice node attributes and links in such networks often evolve over time. In this paper, we propose a new method to predict node attributes and links in temporal networks.