Immunization of traffic-driven epidemic spreading

TL;DR

This paper investigates immunization strategies to control traffic-driven epidemic spreading, finding that betweeness-based immunization is most effective, and identifying how epidemic thresholds depend on spreading and packet-generation rates.

Contribution

It introduces and compares different immunization strategies, highlighting the effectiveness of betweeness-based immunization in traffic-driven epidemic control.

Findings

Betweeness-based immunization most effectively prevents outbreaks.

Critical immune node number increases with spreading and packet-generation rates.

Traffic-driven epidemic control depends on immunization strategy and network parameters.

Abstract

In this paper, we study the control of the traffic-driven epidemic spreading by immunization strategy. We consider the random, degree-based and betweeness-based immunization strategies, respectively. It is found that the betweeness-based immunization strategy can most effectively prevent the outbreak of traffic-driven epidemic. Besides, we find that the critical number of immune nodes above which epidemic dies out is increased with the enhancement of the spreading rate and the packet-generation rate.