Epidemic spreading on multilayer community networks

Abstract

The spreading and diffusion of epidemics on multilayer networks has attracted increasing attention, however the community structure of multilayer networks has been neglected. It has shown that there is a close relationship between community structure and epidemic spreading. Therefore, we mainly analyze the influence of community structure on epidemic spreading in multilayer networks, and reveal influencing factors of epidemic spreading. The results show that the increase in the community average degree or the decrease in the connection probability among the communities in the infectious layer will promote the spreading of the epidemic, while the increase in the number of communities in the infectious layer or the increase in the community average degree in the information layer will inhibit the spreading of the epidemic. Additionally, the change in the number of communities in the information layer or the connection probability among the communities has little effect on the propagation threshold.