Journal
PHYSICAL REVIEW E
Volume 84, Issue 4, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.84.045101
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Funding
- National Natural Science Foundation of China [10975126, 10635040]
- Specialized Research Fund for the Doctoral Program of Higher Education of China [20093402110032]
- AFOSR [FA9550-10-1-0083]
- NSF [BECS-1023101, CDI-1026710]
- Direct For Biological Sciences
- Div Of Molecular and Cellular Bioscience [1026710] Funding Source: National Science Foundation
- Directorate For Engineering
- Emerging Frontiers & Multidisciplinary Activities [1023101] Funding Source: National Science Foundation
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Despite extensive work on traffic dynamics and epidemic spreading on complex networks, the interplay between these two types of dynamical processes has not received adequate attention. We study the effect of local-routing-based traffic dynamics on epidemic spreading. For the case of unbounded node-delivery capacity, where the traffic is free of congestion, we obtain analytic and numerical results indicating that the epidemic threshold can be maximized by an optimal routing protocol. This means that epidemic spreading can be effectively controlled by local traffic dynamics. For the case of bounded delivery capacity, numerical results and qualitative arguments suggest that traffic congestion can suppress epidemic spreading. Our results provide quantitative insight into the nontrivial role of traffic dynamics associated with a local-routing scheme in the epidemic spreading.
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