A multiple risk coupled propagation model for emergency information considering government information and government mandatory measures

In the era of new media, it is crucial to investigate the transmission paths of emergency information due to the rising risk of such information. We take the risks caused by the dissemination of various heterogeneous negative information and public opinion caused by unexpected events as the research object. Starting from the coupling of multiple risks and considering the behavioral impact of different government measures, we construct a three-layer coupling network S1I1S1-S2I2S2-UAU model between different types of negative information (Info1, Info2) and the diffusion of government information (Info3), and analyze the coupling mechanisms of negative information and government information. Second, the MMCA is used to analyze the dissemination process and the diffusion threshold of government information. Finally, the rationality and effectiveness of the S1I1S1-S2I2S2-UAU model are verified by numerical simulation and real cases. Our research results can help establish the cognitive information risk coupling propagation law, providing support for government departments in controlling information risk.