Dynamic behavior of the interaction between epidemics and cascades on heterogeneous networks
Department of Information Science and Electronic Engineering - Zhejiang University, Hangzhou 310027, China
Received: 11 May 2014
Accepted: 19 November 2014
Epidemic spreading and cascading failure are two important dynamical processes on complex networks. They have been investigated separately for a long time. But in the real world, these two dynamics sometimes may interact with each other. In this paper, we explore a model combined with the SIR epidemic spreading model and a local load sharing cascading failure model. There exists a critical value of the tolerance parameter for which the epidemic with high infection probability can spread out and infect a fraction of the network in this model. When the tolerance parameter is smaller than the critical value, the cascading failure cuts off the abundance of paths and blocks the spreading of the epidemic locally. While the tolerance parameter is larger than the critical value, the epidemic spreads out and infects a fraction of the network. A method for estimating the critical value is proposed. In simulations, we verify the effectiveness of this method in the uncorrelated configuration model (UCM) scale-free networks.
PACS: 89.75.-k – Complex systems / 05.70.Jk – Critical point phenomena / 05.10.-a – Computational methods in statistical physics and nonlinear dynamics
© EPLA, 2014