Xiaojue Huo
ABSTRACT
This research takes sudden scientific public opinion events as the research object, and constructs a public opinion map using LDA, network analysis, and Sankey diagrams. Through methods such as topic division, latent semantic association, and semantic flow, the influence of key words on topics in scientific public opinion is analyzed. The flowing associated words are associated with the source of propagation, and the evolution of scientific communication paths is displayed using knowledge graph visualization. Optimized strategies are proposed for semantic ambiguity, displacement of intermediate nodes, and key user nodes discovered in scientific communication.
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Index Terms
- Research on the Sudden Scientific Public Opinion Theme Map and Science Communication Path Method in the Sina Weibo: Case on "2022 Nobel Prize in Physics"
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