Suggesting ghost edges for a smaller world

  • Authors:
  • Manos Papagelis;Francesco Bonchi;Aristides Gionis

  • Affiliations:
  • University of Toronto, Toronto, ON, Canada;Yahoo! Research, Barcelona, Spain;Yahoo! Research, Barcelona, Spain

  • Venue:
  • Proceedings of the 20th ACM international conference on Information and knowledge management
  • Year:
  • 2011

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Abstract

Small changes in the network topology can have dramatic effects on its capacity to disseminate information. In this paper, we consider the problem of adding a small number of ghost edges in the network in order to minimize the average shortest-path distance between nodes, towards a smaller-world network. We formalize the problem of suggesting ghost edges and we propose a novel method for quickly evaluating the importance of ghost edges in sparse graphs. Through experiments on real and synthetic data sets, we demonstrate that our approach performs very well, for a varying range of conditions, and it outperforms sensible baselines.