%A Liang Yanping,An Lu,Liu Jing %T Topic Resonance of Micro-blogs on Similar Public Health Emergencies %0 Journal Article %D 2020 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2019.0732 %P 122-133 %V 4 %N 2/3 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4776.shtml} %8 2020-02-25 %X

[Objective] This study aims to explore the resonance patterns of micro-blog users on different topics from similar public health emergencies.[Methods] We constrcted a random resonance model for sub-topics of public health emergencies based on the Langevin equation and collected more than 170,000 microblog entries on the Shandong vaccine incident and the Changchun Changsheng vaccine incident from the Sina Weibo platform. We analyzed the resonance pattern of micro-blog topics by calculating topic factors, geography factors, attitude values and topic salience.[Results] The topics about the progress of events, the public opinion, and the government response generated obvious resonance. However, the topics on the background knowledge and post-measures failed to cause resonance from similar public health emergencies.[Limitations] We only analyzed the resonance patterns with micro-blogging topics on two similar events. More research is needed to examine our findings with other cases.[Conclusions] Resonances exist between the topics of similar public health emergencies, which are related to the number of relevant micro-blog entries, topic contents and other factors.