Modeling and Simulation of Group Drug-related Incident Evolution

Group drug-related incidents occur frequently in the current society, and it is necessary to study the transmission mechanism of drug-related behavior. By studying the social network of drug-related groups, it is found that the initial number of drug-related behaviors, people's immunity to drug-related behaviors, and the ability to spread drug-related behaviors all affect the evolution of group drug-related incidents. Based on the Agent modeling theory and the NetLogo simulation platform, the propagation model of individual drug-related behavior in social networks is established on the basis of the SIR model to simulate the evolution process of group drug-related behavior. Simulation results show that the larger the initial number of drug-related behaviors, the lower the immunity of people to drug-related behaviors, and the more infectious the behaviors of drug-related behaviors, the faster and larger the scale of the evolution from individual drug-related behaviors to group drug-related behaviors. By studying the evolution mechanism of group drug-related incidents, it is helpful for public security organs to prevent group drug-related incidents from occurring.