Abstract: 【Purpose/significance】 Based on Sina Weibo, this paper explores the social network structure of health information, and studies the network location, communication content and communication mode of different discourse subjects, so as to provide refer⁃ ence for relevant departments.【 Method/process】 Using "post-COVID-19" as the keyword to collect data from popular microblogs and build a user information communication network, social network analysis was used to analyze the network structure characteristics from the perspective of multiple discourse subjects, text analysis tools were used to analyze the information communication content, and communication methods were analyzed based on discourse strategies, so as to explore the health information communication mechanism. 【Result/conclusion】 The network is discrete and sparse. Official media has the greatest overall influence, some profes⁃ sional content producers play a greater role in the dissemination of serious health information, most market-oriented media have a weak sense of presence, and ordinary netizens have the strongest ability to exchange information. The communication contents of the four discourse subjects are basically the same, but the communication styles are different. Official media and market media are mainly serious, formal and professional, professional content producers are professional and friendly, and netizens express their emotions and attitudes in multiple ways.【 Innovation/limitation】 From the perspective of multiple discourse subjects, it is novel to use social network analysis and text analysis to explore the law of health information communication. However, the analysis of network structure is based on static view only, and the sample size is limited.