Complex Networks With Inhibition Of Dual Dissemination Of Information Modeling And Simulation

It is found that a wide range of networks exhibit small-world and power-law characteristic, which arouses the research of the complex network. The study of spreading dynamics on complex neworks has been an important direction in the complex network research. The spreading of the virus in computer networks, the prevalence of rumor in the crowd, the transmission of the trouble and danger, all of which can be viewed as a spreading behavior on the complex networks which exhibits a certain law. The study of spreading dynamics on complex neworks mainly concentrates on the single information spread, but the phenomena of multi-information spreading in the real world is highly prevalent, and the transmimission process is much more complicated. So the transmission about two kinds of information is studied here.A new spreading model is proposed based on the study of the classical epidemic spreading models. It is about two kinds of information spreading and interacting on the network. In this condition, the influence caused by some factors such as the control effect between the information and their interval is analyzed, and the model is pvoved by simulation.According to the study of the spreading model about two kinds of interacting information, aiming at the spreading characteristic of the H1N1 virus, a model S-SEIR is established. In the model, some factors such as isolation strength, anti-disease ability and personal hygiene are put in the model to analyze their effect on the virus transmission. Besides these factors, vaccinations are also disscused in the model. Compared with the real data, this model is proved efficient to simulate the H1N1 virus transmission and can be used to offer some theory basis for controlling the virus transmission.