Based On The Agent Of Dynamic Complex Network Virus Propagation Model And Simulation Research

The spread of disease network is a dynamic network as other social network, people studying the spread of disease network mainly concentrated in static social network; the dynamic characteristic of the social network is got widely attention in recent years. Many factors have led to the evolutionary behavior of social networks such as new nodes to join, exit, movement and the formation, maintenance, disconnect and reconnect of the edge between two nodes, the dynamic changes of the network lead to the behavior and state of individual evolved and further cause the dynamic changes of the network, and form coupling evolution. Real social network includes nodes and links and promote social interaction network to evolve, driving force of spread network dynamic evolution is the individual behavior and independent interaction. It is necessary for the study of disease spread in complicated social system to combine Agent method and the complex network method. The agent is regard as the nodes with autonomy behavior in network. Because the Agent model combined with social network, agent can accurately express autonomy behavior when virus spread in individuals, and can use agent complex network structure to express the interactions between individuals and the interactions in various transmission networks. Researching dynamic multi-agent and complex network model which can describe dynamic evolution of HIV transmission way, autonomy behavior, the relationship between policy intervention and virus transmission, is the foundation of using simulation method to study the mechanism of HIV transmission. This paper research the main algorithm and simulation for constructing a dynamic multi-agent and complex network disease transmission modelThis paper expounds that using the method of combining multi-agent and complex network to study theoretical basis, combining mechanism and modeling method of disease transmission based on complex system theory and complex network theory.This paper proposed a two-dimensional grid multi-agent dynamic network disease transmission simulation model, and studied the dynamic process of self-avoidance behavior of individuals in the diffusion process of disease spread in the crowd. In order to include more disease status and population category in the model, this paper extends the classical SIR model of disease spread and increase more course of the disease state based on the standard SIR model. In the two-dimensional regular network, by increasing individual autonomy avoidance behavior to control the agent’s range of movement and build a dynamic social network to adapt to the spread of disease. The simulation results give a conclusion consistent with other methods, and the model better reflects the influence of the dynamic social networks and individual autonomy sexual behavior on the spread of disease.This paper constructed a dynamic agent small-world network simulation model which reflects the dynamic propagation of HIV among homosexual. The agent considered different stages of HIV progression, avoidance strategy and disease testing policies:this model adapt to the dynamic characteristics of the HIV transmission social networks, build a dynamic small-world networks by increasing accidental relationship and fixed relationship between two individuals, and individuals’ births, deaths, immigration, emigration etc. The simulation results indicate that this model better reflect the influence of the dynamic social networks and individual autonomy sexual behavior on HIV transmission.The HIV transmission network consist heterosexual transmission network, homosexual transmission networks and drug-propagation network, the three types of networks constitute a hybrid network by bridge population. Studying hybrid HIV transmission model is the basis of in-depth studying the mechanism of HIV transmission. This paper proposed a heterosexual transmission network with dynamic characteristics and a quickly generate models of the same-sex mixed-propagation network based on configuration model. By using generation algorithm we have done some simulation analysis of the hybrid network evolution, and compared with the standard model results. So it proved that the model is valid.In order to describe the dynamic multi-agent complex network model that has characteristics of dynamic evolution, autonomy behavior, intervention policy, we studies the key technology; and we laid the technical foundation for in-depth studying HIV transmission mechanism.