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author:

Yang, H.-X. (Yang, H.-X..) [1] | Wu, Z.-X. (Wu, Z.-X..) [2]

Indexed by:

Scopus

Abstract:

Despite extensive work on the interplay between traffic dynamics and epidemic spreading, the control of epidemic spreading by routing strategies has not received adequate attention. In this paper, we study the impact of an efficient routing protocol on epidemic spreading. In the case of infinite node-delivery capacity, where the traffic is free of congestion, we find that that there exist optimal values of routing parameter, leading to the maximal epidemic threshold. This means that epidemic spreading can be effectively controlled by fine tuning the routing scheme. Moreover, we find that an increase in the average network connectivity and the emergence of traffic congestion can suppress the epidemic outbreak. © 2014 IOP Publishing Ltd and SISSA Medialab srl.

Keyword:

network dynamics; networks; random graphs

Community:

  • [ 1 ] [Yang, H.-X.]Department of Physics, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Wu, Z.-X.]Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou, Gansu 730000, China

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Source :

Journal of Statistical Mechanics: Theory and Experiment

ISSN: 1742-5468

Year: 2014

Issue: 3

Volume: 2014

2 . 4 0 4

JCR@2014

2 . 2 0 0

JCR@2023

ESI HC Threshold:213

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 24

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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