Social Network Virus Propagation SAIR Model Control

Taking into concern the characteristics of network social software, a new SAIR model is proposed. This model adds another vulnerable receiving compartment on the basis of the traditional virus propagation model, and examines the effects of human intervention and the number of social software on malicious links of network viruses. The spreading of influence on social network as well as the expansion threshold of the model system is studied, and the dynamics of the model have been theoretically analyzed. Simulated evolution of the spread of the virus crisis in the social network environment, the evolution simulation reveals that the size of the basic reproduction number determines whether the virus always exists or tends to extinction in the spread of the network. When the basic regeneration number is less than or equal to 1, the virus can be completely eliminated. Furthermore, it is also found that centralized control of high-frequency visited nodes can effectively control the spread of viruses.