Under the background of the construction of human health community, regional health governance is facing the realistic situation of risk cross-domain diffusion, subject collaboration dispersion and resource linkage lag. Existing studies mostly focus on single disease or sectoral collaboration, and there are few discussions on the structure of regional cooperation network and its governance transformation. This paper uses social network analysis method to construct a weighted directed network covering health administration, disease control and prevention, medical institutions, grass-root organizations and collaborative support subjects, and designs information sharing, resource collaboration, risk linkage and feedback update mechanisms. Verified with the collaboration data of five cities in a province, the number of collaboration relationships increased from 426 to 512, the network density increased from 0.128 to 0.186, and the resource arrival rate increased to 86.5%. The research shows that this method can provide quantitative identification and practice optimization path for regional health cooperative governance.
