Asymmetrically interacting spreading dynamics on complex layered networks

Abstract

The spread of disease through a physical-contact network and the spread of information about the disease on a communication network are two intimately related dynamical processes. We investigate the asymmetrical interplay between the two types of spreading dynamics, each occurring on its own layer, by focusing on the two fundamental quantities underlying any spreading process: epidemic threshold and the final infection ratio. We find that an epidemic outbreak on the contact layer can induce an outbreak on the communication layer, and information spreading can effectively raise the epidemic threshold. When structural correlation exists between the two layers, the information threshold remains unchanged but the epidemic threshold can be enhanced, making the contact layer more resilient to epidemic outbreak. We develop a physical theory to understand the intricate interplay between the two types of spreading dynamics.

29 pages, 14 figures

References in corpus (10)

• Diffusion dynamics on multiplex networks
• Multirelational Organization of Large-scale Social Networks in an Online World
• Threshold effects for two pathogens spreading on a network
• Towards a characterization of behavior-disease models
• Epidemic thresholds of the Susceptible-Infected-Susceptible model on networks: A comparison of numerical and theoretical results
• Calling patterns in human communication dynamics
• Modeling human dynamics of face-to-face interaction networks
• Finite-size scaling in complex networks
• Epidemic Dynamics of Interacting Two Particle Species on Scale-free Networks
• Immunization Dynamics on a 2-layer Network Model