Suppressing traffic-driven epidemic spreading by adaptive routing strategy
arXiv:1802.01258 · doi:10.1016/j.chaos.2016.10.012
Abstract
The design of routing strategies for traffic-driven epidemic spreading has received increasing attention in recent years. In this paper, we propose an adaptive routing strategy that incorporates topological distance with local epidemic information through a tunable parameter . In the case where the traffic is free of congestion, there exists an optimal value of routing parameter , leading to the maximal epidemic threshold. This means that epidemic spreading can be more effectively controlled by adaptive routing, compared to that of the static shortest path routing scheme. Besides, we find that the optimal value of can greatly relieve the traffic congestion in the case of finite node-delivering capacity. We expect our work to provide new insights into the effects of dynamic routings on traffic-driven epidemic spreading.
4 pages, 7 figures. arXiv admin note: substantial text overlap with arXiv:1503.00145
References in corpus (15)
- The structure and dynamics of multilayer networks
- Prediction and predictability of global epidemics: the role of the airline transportation network
- Thresholds for epidemic spreading in networks
- Efficient routing on complex networks
- Navigability of Complex Networks
- Transport on coupled spatial networks
- Reconstructing propagation networks with natural diversity and identifying hidden sources
- Traffic-driven Epidemic Spreading in Finite-size Scale-Free Networks
- Combining complex networks and data mining: why and how
- Scaling breakdown in flow fluctuations on complex networks
- Immunization of traffic-driven epidemic spreading
- Epidemic spreading driven by biased random walks
- Information transport in multiplex networks
- Traffic-driven SIR epidemic model on networks
- Traffic-driven epidemic spreading on scale-free networks with tunable degree distribution