Abstract: The complexity, dynamics, and uncertainty of public health emergencies put forward higher requirements for emergency man-agement cooperation. Therefore, building and optimizing a cross-departmental cooperation network is of great significance for effective re-sponse to public health incidents. Based on the relationship data between emergency organizations in Wuhan during the COVID-19 epi-demic in 2020, this paper uses the social network analysis method to integrate both abnormal and normal social states, and comprehen-sively analyzes the evolution and performance of the emergency cooperation network for major public health emergencies. The research shows that cooperative relationship and complex cooperation network are more likely to form among organizations with similar organiza-tional attributes. However, there are significant differences between the abnormal emergency cooperation network and the normal emer-gency cooperation network, and the overall performance of the abnormal emergency cooperation network is stronger. Based on this, scien-tific and efficient emergency management needs to take into account abnormal emergency and normal prevention and control, coordinate key tasks and organizations involved in different stages according to changes in emergency situations, and take the close inter-organiza-tional dependence relationship as a robust function for maintaining organizational trust, promoting resource sharing and information ex-change, to further explore feasible ways to improve the effectiveness of emergency cooperation networks.

Key words: public health emergencies, emergency cooperation, network analysis, network performance