Blocking links to minimize contamination spread in a social network

  • Authors:
  • Masahiro Kimura;Kazumi Saito;Hiroshi Motoda

  • Affiliations:
  • Ryukoku University, Otsu, Japan;University of Shizuoka, Shizuoka, Japan;Osaka University, Osaka, Japan

  • Venue:
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • Year:
  • 2009

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Abstract

We address the problem of minimizing the propagation of undesirable things, such as computer viruses or malicious rumors, by blocking a limited number of links in a network, which is converse to the influence maximization problem in which the most influential nodes for information diffusion is searched in a social network. This minimization problem is more fundamental than the problem of preventing the spread of contamination by removing nodes in a network. We introduce two definitions for the contamination degree of a network, accordingly define two contamination minimization problems, and propose methods for efficiently finding good approximate solutions to these problems on the basis of a naturally greedy strategy. Using large social networks, we experimentally demonstrate that the proposed methods outperform conventional link-removal methods. We also show that unlike the case of blocking a limited number of nodes, the strategy of removing nodes with high out-degrees is not necessarily effective for these problems.