Suppressing traffic-driven epidemic spreading by edge-removal strategies
arXiv:1503.00149 · doi:10.1103/PhysRevE.87.064801
Abstract
The interplay between traffic dynamics and epidemic spreading on complex networks has received increasing attention in recent years. However, the control of traffic-driven epidemic spreading remains to be a challenging problem. In this Brief Report, we propose a method to suppress traffic-driven epidemic outbreak by properly removing some edges in a network. We find that the epidemic threshold can be enhanced by the targeted cutting of links among large-degree nodes or edges with the largest algorithmic betweeness. In contrast, the epidemic threshold will be reduced by the random edge removal. These findings are robust with respect to traffic-flow conditions, network structures and routing strategies. Moreover, we find that the shutdown of targeted edges can effectively release traffic load passing through large-degree nodes, rendering a relatively low probability of infection to these nodes.
References in corpus (9)
- Prediction and predictability of global epidemics: the role of the airline transportation network
- Reaction-diffusion processes and metapopulation models in heterogeneous networks
- Thresholds for epidemic spreading in networks
- Invasion threshold in heterogeneous metapopulation networks
- Traffic-driven Epidemic Spreading in Finite-size Scale-Free Networks
- Global disease spread: statistics and estimation of arrival times
- Scaling breakdown in flow fluctuations on complex networks
- Impact of link deletions on public cooperation in scale-free networks
- An efficient strategy to suppress epidemic explosion in heterogeneous metapopulation networks