Abstract: 【Purpose/significance】In order to better adapt to the changes in the network public opinion environment and improve the
government's network public opinion governance capabilities,this paper optimizes the design of the government network public opinion governance integration and government information synergy measurement method【. Method/process】This paper constructs a collabora-tive public opinion evolution model based on the synergy between network computing and dynamics.By calculating government rel-evance,and establishing a reversal model based on the Deffuant model,it can measure the synergy of government network public opin-ion governance integration and government information.At the same time,the public opinion of the "Chongqing bus crashing incident" is taken as an example to verify the proposed synergy measurement method【. Result/conclusion】 The results of the case analysis showthat the measurement method of this study can accurately analyze the direction of public opinion before the government information is issued,and verifies that the government network public opinion governance and government information are combined with a better ef-fect on public opinion governance【. Innovation/limitation】Since the selected cases in this article are relatively single,the empirical re-sults have certain limitations.In the future,multiple cases can be selected for comprehensive analysis to make the measurement method more convincing.