Heterogeneous virus propagation in networks

A theoretical study

Journal Article (2017)
Author(s)

Luxing Yang (Chongqing University, TU Delft - Electrical Engineering, Mathematics and Computer Science)

Moez Draief (Imperial College London)

Xiaofan Yang (Chongqing University)

Research Group
Network Architectures and Services
DOI related publication
https://doi.org/10.1002/mma.4061 Final published version
More Info
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Publication Year
2017
Language
English
Research Group
Network Architectures and Services
Issue number
5
Volume number
40
Pages (from-to)
1396-1413
Downloads counter
179

Abstract

The node-based epidemic modeling is an effective approach to the understanding of the impact of the structure of the propagation network on the epidemics of electronic virus. In view of the heterogeneity of the propagation network, a heterogeneous node-based SIRS model is proposed. Theoretical analysis shows that the maximum eigenvalue of a matrix related to the model determines whether viruses tend to extinction or persist. When viruses persist, the connectedness of the propagation network implies the existence and uniqueness of a viral equilibrium, and a set of sufficient conditions for the global stability of the viral equilibrium are given. Numerical examples verify the correctness of our results.