Double-layer network virus spreading model establishing method based on individual alertness

Abstract

The invention discloses a double-layer network virus spreading model establishing method based on individual alertness, which researches the propagation dynamics of multiple networks by introducing individual alertness on the basis of a double-layer network spreading model, wherein the individual alertness is generated by an individual according to probability after acquiring consciousness. The method comprises the following steps of: constructing a double-layer network model of information transmission and epidemic spread; considering the influence of individual alertness on the contact behavior; the effect of the probability of an individual developing alertness on the infection rate of an epidemic; and establishing the double-layer network virus spreading model based on individual alertness. The method can describe the processes of epidemic spread and information awareness diffusion in the social contact network, can consider the heterogeneity of the influence of the information awareness on the individual behaviors, and can better describe the virus propagation dynamic behaviors in the complex network.

Description

technical field [0001] The invention relates to the fields of network science and virus transmission, in particular to a double-layer network virus transmission model considering individual vigilance behavior. Background technique [0002] The propagation of epidemics has been a hot topic in the field of complex networks in recent years. Whether it is the Black Death, the Spanish flu, or the SARS and H1N1 flu in recent years, the spread of epidemics has had a huge impact on human production and life. In real life, the spread of epidemics is often accompanied by other communication processes, such as information dissemination. Information about epidemics can spread rapidly among friends and family members through mass media, changing people's understanding of the spread of epidemics. At the same time, when people learn about the epidemic, in order to avoid the epidemic, individuals will change their behavior accordingly, such as wearing masks, avoiding contact and taking dru...

AI Technical Summary

Problems solved by technology

However, everyone in the network often has different identities and personalities, so assuming that individuals in the network have the same characteristics cannot fully simulate the situation in which individual activities in real life are usually affected by their heterogeneity.

Images