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Cooperative epidemic spreading on a two-layered interconnected network

  • Xiang Wei
  • , Xiaoqun Wu*
  • , Shihua Chen
  • , Jun-An Lu
  • , Guanrong Chen
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

66 Downloads (CityUHK Scholars)

Abstract

This study is concerned with the dynamical behaviors of epidemic spreading over a two-layered interconnected network. Three models in different levels are proposed to describe cooperative spreading processes over the interconnected network, wherein the disease in one network can spread to the other. Theoretical analysis is provided for each model to reveal that the global epidemic threshold in the interconnected network is not larger than the epidemic thresholds for the two isolated layered networks. In particular, in an interconnected homogeneous network, a detailed theoretical analysis is presented which allows quick and accurate calculations of the global epidemic threshold. Moreover, in an interconnected heterogeneous network with interlayer correlation between node degrees, it is found that the interlayer correlation coefficient has little impact on the epidemic threshold but has significant impact on the total prevalence. Simulations further verify the analytical results, showing that cooperative epidemic processes promote the spreading of diseases.
Original languageEnglish
Pages (from-to)1503-1520
JournalSIAM Journal on Applied Dynamical Systems
Volume17
Issue number2
Online published24 May 2018
DOIs
Publication statusPublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Keywords

  • Degree correlation
  • Epidemic threshold
  • Interconnected network
  • SIS model

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: © 2018 Society for Industrial and Applied Mathematics.

RGC Funding Information

  • RGC-funded

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