The link-prediction problem for social networks

  • Authors:
  • David Liben-Nowell;Jon Kleinberg

  • Affiliations:
  • Department of Computer Science, Carleton College, Northfield, MN 55057;Department of Computer Science, Cornell University, Ithaca, NY 14853

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2007

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Abstract

Given a snapshot of a social network, can we infer which new interactions among its members are likely to occur in the near future? We formalize this question as the link-prediction problem, and we develop approaches to link prediction based on measures for analyzing the “proximity” of nodes in a network. Experiments on large coauthorship networks suggest that information about future interactions can be extracted from network topology alone, and that fairly subtle measures for detecting node proximity can outperform more direct measures. © 2007 Wiley Periodicals, Inc.