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Suppressing traffic-driven epidemic spreading in multiplex networks by effective traffic-flow assignment strategy

Xing-Li Jing, Mao-Bin Hu and Jie Chen

Physica A: Statistical Mechanics and its Applications, 2022, vol. 594, issue C

Abstract: Despite extensive research on the interplay between traffic dynamics and epidemic spreading, the control of epidemic spreading in multiplex networks by routing strategies has not received adequate attention. In this paper, we study the impact of effective traffic-flow assignment strategy on epidemic spreading in multiplex networks. Interestingly, epidemic spreading can be effectively controlled by tuning the routing assignment in a certain layer. In particular, by adjusting the routing parameters, the epidemic can be completely suppressed. Moreover, an increase in the average network connectivity of one layer of the multiplex networks can also suppress the outbreak of epidemic spreading. By both simulation and theoretical analysis, the epidemic suppression effect is confirmed on multiplex networks composed of Erdős–Rényi random and Scale-Free layers.

Keywords: Multiplex network; Traffic-flow; Epidemic spreading; Routing strategy (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:594:y:2022:i:c:s0378437122000693

DOI: 10.1016/j.physa.2022.126973

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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