Stability analysis for virus spreading in complex networks with quarantine and non-homogeneous transition rates

2nd International Conference on Mathematical Modeling in Physical Sciences 2013

物理学;数学

Alarcon-Ramos, L.A.^1 ; Schaum, A.^1 ; Lucatero, C. Rodríguez^2 ; Jaquez, R. Bernal^1

Departamento de Matematicas Aplicadas y Sistemas, Universidad Autonoma Metropolitana, Cuajimalpa, Mexico^1

Departamento de Tecnologias de la Informacion, Universidad Autonoma Metropolitana, Cuajimalpa, Mexico^2

关键词: Connectivity matrix;    Discrete time markov process;    Free-scale networks;    Homogeneous transition;    Largest eigenvalues;    Stability analysis;    Transition probabilities;    Uniform distribution;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/490/1/012011/pdf
DOI  :  10.1088/1742-6596/490/1/012011

来源: IOP

【 摘 要 】

Virus propagations in complex networks have been studied in the framework of discrete time Markov process dynamical systems. These studies have been carried out under the assumption of homogeneous transition rates, yielding conditions for virus extinction in terms of the transition probabilities and the largest eigenvalue of the connectivity matrix. Nevertheless the assumption of homogeneous rates is rather restrictive. In the present study we consider non-homogeneous transition rates, assigned according to a uniform distribution, with susceptible, infected and quarantine states, thus generalizing the previous studies. A remarkable result of this analysis is that the extinction depends on the weakest element in the network. Simulation results are presented for large free-scale networks, that corroborate our theoretical findings.