Abstract
Suppressing computer virus and biological disease in weighted network such as internet of things and social network has attracted attention among researchers in different fields. In this paper, how to slow down the epidemic spreading process and raise the epidemic threshold of the traffic-driven epidemic spreading in weighted network is investigated. The two representative metrics, the density of the infected nodes and the epidemic threshold, are found to have a significant relationship with the node betweenness in traffic-driven epidemic spreading. By specifying the shortest path to reshape the distribution of the node betweenness, a new control strategy is proposed to suppress the traffic-driven epidemic spreading which will not increase the length of routing path. Simulations on both computer-generated networks and real-world network show that our strategy gives more efficiency in reducing the spreading velocity and raising the epidemic threshold in weighted network. This work might shed some light on scrutinizing traffic-driven epidemic spreading processes in multiplex networks.
Published Version
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