HIV Hybrid Propagation Dynamic Complex Agent Network Model

There are many social concerns about ADIS, in recent years, it has been getting more and more serious and taken great damage to the relative families and the whole society. Useful measures of the society have to be taken to control ADIS. It has tremendous meanings to do research on the HIV propagation process, HIV propagation mechanism, prognosis HIV propagation trends and cutting off the propagation routes for the HIV control and prevention. Building HIV propagation process model has enormous significant for researching HIV propagation as the great influence of social network structure to HIV propagation.The paper proposed microscopic modeling method and complex network theory to further research dynamic process and influence on HIV propagation. A HIV hybrid transmission simulation model of dynamic Agent was proposed with the consideration of dynamic networks and the distribution of weight. The main researches of the proposed paper are:(1)proposed the formation and evolution model of hierarchical networks based on configuration model;(2)researched on homosexual network structure and the formation and evolution algorithm of weighted networks based on configuration model, then calculated the network parameters;(3)researched on gender networks structure and the formation and evolution algorithm of gender bipartite graph weighted networks based on configuration model, then calculated the network parameters;(4)researched on the formation and evolution algorithm of gender homosexual hybrid weighted networks, then calculated the network parameters.This paper proposes a degree-degree correlation scale-free dynamic homosexual social network model for HIV sexually transmission network. The nodes on the sexual network have been classed into three sub-layer network, and the persons on this sub-layer network correspond to the three sub population with different level of risk behavior according to the degree of nodes or the individuals’sexual partners on the network. The sexual network has been generated using a configuration model, and the assortative interaction inside subgroups and the disassortative interaction in between the subgroups have been achieved on sexual network by distributing links at each node among the network according to the higher linking probability within a group and the lower linking probability between groups. Simulating results show the model has some major features of sexual network, including a power low degree distribution with an adjustable exponent, nontrivial clustering, dynamics, and assortative mixing between degrees of adjacent vertices.This paper presents a method based on bipartite dynamic weighting scale-free agent network for investigating HIV heterosexual transmission and the effectiveness of HIV prevention interventions. According to different high-risk behavior female are divided into the general population and female sex workers, and the male are divided into the general population and clients of female sex worker in the bipartite network. A bipartite scale-free network configuration generation algorithm is constructed for describing the relationships of heterosexual contacts. The dynamics of heterosexual network is supported through heterosexual network stable, casual and temporary partnership dissolution and formation. In the model agent represent males and females who interact with each other and within risk networks engaging in sexual behavior over time. Agent describes individual high-risk behavior, course of HIV disease and social structure. Agent also defines the behavior rules for adaption to the HIV prevention interventions. Exploratory simulation results are consistent with empirical studies demonstrating that the effectiveness of a combination of interventions, including voluntary counseling and HIV test, condom promotion for safe sexual behavior and initiating antiretroviral treatment.The proposed HIV transmission network model is the hybrid network with the consideration of microscopic modeling method and complex network theory. The edges of the proposed network were dynamic and the weighted edges were the actual number of high-risk behaviors among individuals. As the HIV transmission simulation, analyzed the HIV infection ratio in statistical model and survey data to prove the rationality of the proposed model and got the influence parameters of HIV propagation with the intervention measures such as appropriate testament, antiviral therapy, using clean needles and free needle exchange.