Application of Small World Network in the Dissemination of Unsafe Behaviors with Masks

In order to study the spread process of the unsafe behavior of employees wearing masks after returning to work, an SIR (virus propagation) model based on the small world network model was established to construct the propagation model of the unsafe behavior of employees wearing masks. The results show that: the SIR model based on small world network can simulate the complex propagation process involving employee behavior, and can make visual prediction on the propagation process of related violation behaviors related to wearing masks after returning to work. When the enterprise does not carry out any intervention, with the increase of enterprise scale, the time for employees who do not wear masks as required to reach 50% of the enterprise scale is longer and longer; in large-scale enterprises, the interpersonal transmission speed of employees who do not wear masks as required is faster, and the number of people growing in a single day is more likely to lead to large-scale infection. However, the effect of pre intervention is better than that of post intervention. The effective rate of intervention before and after the event has an important impact on the transmission process of not wearing masks as required. When the effective rate of enterprise control pre intervention reaches 30% or post intervention effectiveness reaches more than 50%, large-scale spread can be prevented. When the effective rate of enterprise control pre intervention reaches 70% and after intervention reaches more than 80%, it can effectively prevent the spread of non wearing masks among employees. The results showed that both pre intervention and post intervention had better effect on slowing down and preventing the spread of non wearing masks.