Research On The Emotional Dissemination Mechanism And Influencing Factors Based On Infectious Disease Model

Infectious disease model has been widely used in network public opinion information, infectious disease in actual life and people emotional information dissemination. Because of the public sentiment has a great influence to improve social public order, creativity, and the working efficiency. Sensitive investment sentiment and panic in emergencies will obvious effects on the community but there is still a gap in the grasp of its fundamental fundamental transmission mechanism and influence factors, which needs further research. The research on the rules of emotional communication between individuals has a vital role in understanding and further predicting and controlling the public mood spread trend.Firstly, constructing the SIS model with non monotonic contact rate to describe the passengers panic spread in a subway emergency situation combining the panic spread characteristics in real life and based on the SIS model of infectious diseases. By using Lyapunov stability first normal to prove the system eliminate balance0 E globally asymptotically stable,and the panic spread balance*E asymptotic stability. Matlab numerical simulation the subway passengers panic spread mechanism and influence factors in emergency situation from the Angle of dynamics, combined with control variable method to study the influence of different factors to this system. The results provide a meaningful reference for emergency management institutions, and presenting policy suggestions for emotional communication control management mechanism.Secondly, selected 2014 annual reports of Shanghai and shenzhen stock financial sector and circulation of the top ten shareholders of listed companies data to generate complex networks. Based on the actual life of induction and idealized emotional transmission characteristics, on this basis to construct the most appropriate SIRS model to research and analysis stock market investor sentiment spread mechanism and influencing factors. By using Lyapunov stability second normal to verify the effectiveness of the system, and Matlab numerical simulation for the model. By changing different parameters to analyze the trends of infection rate stable point,summed up the immunity rate ? and the immune loss rate ? have great influence on the number of final emotion infected investors,and can quickly reduce the spread of emotions. Then the control strategy was proposed. Simulation found that the research on emotional transmission peak and eventually infections improved significantly.