During an emergency, the negative Internet public opinion in colleges and universities, especially the negative endogenous public opinion, will have a serious impact on the reputation of colleges and universities. It is of great significance to find out the negative influencing factors of endogenous public opinion and explore the mechanism of public opinion dissemination for resolving the crisis of public opinion in universities. The existing research does not distinguish the endogenous Internet public opinion in colleges and universities from the general Internet public opinion in colleges and universities, and the SIR model adopted fails to fully reflect the difference between students and other dissemination subjects of endogenous public opinion in campus. In addition, various research methods and models currently used focus on the static expression of dissemination results, and the explanation of results is insufficient. The reason is that they do not well express the dynamic interaction mechanism between influencing factors and the dynamic conversion rate between roles. In this study, based on the improved infectious disease model and system dynamics theory, AnyLogic software is used to simulate the improved SNIDR model of infectious disease, to analyze the sensitivity of school supervision, school intervention, school response time and information transparency and to study the dynamic conversion rate between different roles. The SNIDR model effectively simulates the process of endogenous public opinion dissemination in colleges and universities after emergencies. The results show that, what has the greatest impact on the dissemination of public opinion is the school’s supervision and intervention efforts, which can suppress the dissemination from the source. Information transparency is an auxiliary variable and cannot function independently. During the dissemination period, the timelier the school responds, the faster the spreaders will drop to zero, and the better it will be to control the secondary dissemination of public opinion.
Given the enterprise technology corporation technological learning problem of challenging to reduce the efficiency of technology transfer based on evolutionary game theory, from the nature of technical knowledge, military field, and civilian field of technology spillover, recessive and technical complexity, and other technical features, construction of bounded rationality under the condition of the private enterprise, the enterprise, and the government's three evolutionary game models, the influence of different technical characteristics on the three parties is analyzed by Matlab numerical simulation. The results show that intratechnological recessive only negatively inhibits the cooperative behavior of private enterprises. Both technology spillover and technology complexity promote the evolution of noncooperative behavior between military and civilians. The evolution speed of government support behavior is faster under high-intensity technology spillover. Finally, it is suggested that the technology transfer can be effectively promoted by strengthening the technology level of the private military enterprises, improving the technology transferability of the military enterprises, and perfecting the property right incentive mechanism of technological innovation.
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