Research on Disease Spreading Behavior Oriented to Three-Layer Complex Networks

Abstract

Disease spreading in multi-layer complex networks often spreads among multiple populations with the help of media. In order to reveal the cross-layer spreading characteristics of diseases and control the cross-layer spreading of diseases by analyzing the inter-layer coupling mechanism in multi-layer complex networks, this paper proposes and establishes three kinds of three-layer disease spreading models based on SIS spreading mechanism, and analyzes the influence of spreading conditions, spreading speed, and diffusion range on disease spreading and corresponding immunization strategies. It is deduced theoretically that the spreading threshold of global network is relatively lower than that of a single-layer network. As the intermediary layer of the global network bridge, the strong coupling is more likely to cause the network to show multi-peak characteristic, and the influence of multi-peak transformation on the spreading speed is higher than that of the network generation mechanism. The immune strategy of isolating middle-layer nodes can effectively inhibit the spread of diseases. The research results of this paper are helpful to understand the spreading characteristics of various information in the real world.