[Purpose/significance] Analyzing the types, mutual relationships, community structure, and dissemination effects of the information on the Internet from multiple angles will help to discover the key information subjects and the effective spread of the information on the Internet. It plays an important role in strengthening the guidance of public opinion during public health emergencies and maintaining social stability.[Method/process] The article selected the "Shuanghuanglian" rumors during the new crown pneumonia epidemic, and built a network of rumor-defying subjects through Neo4j, then detected the network community using Louvain algorithm. Through content analysis and regression analysis, this paper analyzed the characteristics of the information content and the strategies of the rumor-defying subjects, and constructed the subject-content two-mode network, to explore how different information subjects and communities promote the dissemination of rumor-refuting information in social media, as well as effective methods and strategies for rumor-refuting.[Result/conclusion] The results of the study found that the government and mass media were the main actors in online rumor-refuting. The government most used the strategy of countering rumors, while the mass media did the opposite. Content characteristics have different effects on the effectiveness of rumor-refuting information dissemination.
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