[Objective] This paper aims to reveal the relationship between topics of microblog and user behaviors at different stages of public health emergencies. [Methods] We analyzed the behavioral patterns among different topics and within a specific topic. The LDA topic model improved by the relevance formula was employed to extract the topics of microblog entries on public health emergencies. The cosine distances between microblog topics and the numbers of retweets, comments, favorites, as well as those between each pair of behavior counts, were calculated to explore users’ behavior patterns towards the same or different topics. [Results] During public health emergencies, the evolutionary trends of users’ behaviors of retweets, comments, favorites are roughly similar. Significant correlations exist between the counts of three behaviors. The correlation coefficients between the counts of retweets and comments, those of comments and favorites, and those of retweets and favorites are 0.390, 0.274, 0.180 respectively. Microblogs related to the topics of event progress, government responses and knowledge dissemination are more likely to be commented on, while those related to the topics of public opinions and event measures are more likely to be retweeted. [Limitations] The universality of the conclusion is subject to the examination of other cases. [Conclusions] The tendency of user behaviors towards different types of topics is obviously unequal, which means different behaviors may happen among different topics and within a specific topic.
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