A hybrid strategy for network immunization

Xianghua Li, Jingyi Guo, Chao Gao, Leyan Zhang, Zili Zhang

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Network immunization is an effective strategy for restraining virus spreading in computer networks and rumor propagation in social networks. Currently, lots of strategies are proposed based on topological structures of networks, such as degree-based and betweenness-based network immunization strategies. However, these studies assume that nodes in a network are homogeneous, i.e., each node has the same characteristic. However, more and more studies have revealed the heterogeneous characteristic of a network. For example, the activities of individual in a computer and social network play an important role in virus spreading and rumor propagation. Some active individuals can promote the outbreak of virus and the spread of a rumor. In this paper, a new network immunization strategy is proposed through combining the characteristics of network structure with node activities. Comprehensive experiments in both benchmark and synthetic networks show that our proposed strategy can restrain virus prorogation effectively.

Original languageEnglish
Pages (from-to)214-219
Number of pages6
JournalChaos, Solitons and Fractals
Volume106
DOIs
StatePublished - Jan 2018
Externally publishedYes

Keywords

  • Activities
  • Complex networks
  • Heterogeneous
  • Network immunization
  • Virus propagation

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