A hybrid strategy for network immunization

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

Chaos, Solitons & Fractals, 2018, vol. 106, issue C, 214-219

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.

Keywords: Network immunization; Virus propagation; Complex networks; Activities; Heterogeneous (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:106:y:2018:i:c:p:214-219

DOI: 10.1016/j.chaos.2017.11.029

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