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

نویسندگان

  • Qingchu Wu
  • Haifeng Zhang
  • Michael Small
  • Xinchu Fu
چکیده

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 timevarying unweighted network can be mapped into the static weighted network. Our analytic results exhibit good agreement with numerical simulations. ! 2013 Elsevier B.V. All rights reserved.

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تاریخ انتشار 2014