Threshold analysis of the susceptible-infected-susceptible model on overlay networks

Q. Wu, H. Zhang, Michael Small, X. Fu

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


In this paper, we study epidemic spreading on overlay networks in which n multiple sets of links interconnect among the same nodes. By using the microscopic Markov-chain approximation (MMA) approach, we establish the conditions of epidemic outbreak for two kinds of spreading mechanisms in such an overlay network: the concatenation case and the switching case. When a uniform infection rate is set in all the subnetworks, we find the epidemic threshold for the switching case is just n times as large as that of concatenation case. We also find that the overlay network with a uniform infection rate can be considered as an equivalent (in the sense of epidemic dynamics and epidemic threshold) weighted network. To be specific, the concatenation case corresponds to the integer weighted network, while the switching case corresponds to the fractional weighted network. Interestingly, the time-varying unweighted network can be mapped into the static weighted network. Our analytic results exhibit good agreement with numerical simulations. © 2013 Elsevier B.V.
Original languageEnglish
Pages (from-to)2435-2443
JournalCommunications in Nonlinear Science and Numerical Simulation
Issue number7
Publication statusPublished - 2014


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