Abstract:

Current studies on epidemic spreading in multilayer networks are conducted on static networks. However, most of the real-world networks exhibit temporal properties, and extensive research on epidemic spreading in dynamic multilayer networks is not yet done. This work investigates the epidemic spreading behavior of epidemic and information interactions in a two-layer network model combining dynamic and static networks. It was found that the network structure, routing strategy, information transmission probability, and degree of epidemic suppression had a significant impact on the threshold of epidemic spreading. When information completely suppresses the epidemic, the self-awareness rate can effectively control the scale of the epidemic infection. This paper also studies the interaction between epidemic spreading and traffic dynamics by adjusting the node movement speed and contact radius of the dynamic network of thee pidemic layer and finds that the epidemic spreading threshold decreases as the node movement speed increases, whereas the outbreak of the epidemic is effectively suppressed as the contact radius increases.

Key words: multilayer networks, dynamic networks, traffic-driven, epidemic spreading, routing strategy