Vaccination Game Model On Double-layer Network Considering Information Sharing

Human society has always been threatened by various infectious diseases both in ancient times and modern times.It will demage people’s lives and property seriously,bring huge administrative burden to the society and hinder Social development seriously when an epidemic breaking out.With the development of science and technology,medical workers have developed various vaccines to deal with different epidemic viruses to fundamentally prevent the spread of epidemics.Because of requiring a certain cost,vaccinating freely leads people not to vaccinate with a fluke mind which can not prevent the spread of epidemics.It is extremely important to study the factors affecting the vaccination willingness of individuals and the mechanism of epidemics in society which we can provide effective measures to reduce the scale of social illness in the process of studying.The past research on vaccination behavior mainly relied on the classical theoretical framework until the evolutionary game theory and the theory of complex network theory have been introduced which provid a new perspective for the research of vaccination game.At the same time,the previous research on social network vaccination game mainly focused on the study of individual single game behavior,and rarely involved the interaction between individual behaviors.Therefore,in view of the existing background and the limitations of existing research results,this paper has carried out related research from the following aspects:Firstly,we sutdy the evolution of information sharing-driven vaccination games on a twolayer network.Based on realistic background,we consider that the choice of an individual’s vaccination strategy is not only related to its own benefits,but also be affected by its relatives and friends on its social network,that is,the scope of individual strategy learning is expanded due to the impact of information sharing which affects individual’s strategy choices.And then we constructe an evolution model of the information sharing-driven vaccination game on the double-layer network.At the same time,through computer simulation,we find that information sharing can reduce the scale of disease in the network to a certain extent.(2)Secondly,we studied the co-evolution process of information sharing and inoculation games on a two-layer network.Based on the evolutionary model of information sharing-driven vaccination games,we consider the impact of vaccination behavior on information sharing--the difference in individual returns makes individual information sharing selective.And then wen contructed a co-evolution model of information sharing and vaccination games on a two-layer network.Through computer simulation analysis,we found that when the probability of information sharing is small can reduce the scale of disease infection in the network,and the result is opposite when the information sharing is large.(3)Finally,we studied the evolution process of the inoculation game evolution model considering information sharing on the structure of the PGP trust network.We select the existing PGP trust network structure to simulate the evolution model of the above inoculation game,and compares it with the model results in the previous chapter.We find that the one-way effect of information sharing negatively affect the scale of infection with clustering.And information sharing will have a positive effect on the scale of infection when information sharing is heterogeneous.The vaccination game model on the two-layer network considering information sharing proposed in this paper not only is realistic,but also reflects the evolution process of individual vaccination game behavior realistically.We use the real social network structure to build the model and find the reasons for the difference in results through the comparative analysis so that we can provide more accurate management tools for relevant health care departments and a new perspective for subsequent research work.