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Research on the Evolution Path of Network Hotspot Events Based on the Event Evolutionary Graph

  • Peiguo Fu,
  • ZhiTao Huang,
  • Ming Liu,
  • Zhiyun Zhao,
  • Wen Jiang

摘要

This paper researches the evolution path method of network public opinion based on the event evolutionary graph. Taking the network public opinion of network hotspot events as an example, collect relevant typical events as research samples, identify the event relationship, build the network public opinion event evolutionary graph and abstract network public opinion event evolutionary graph respectively, and analyze the evolution path of network public opinion event risk from two levels. This study strives to clearly present the evolution path of network public opinion of special network hotspot events, reveal the subject, node, situation, trend and hidden information involved in the relevant events, construct the evolution path of network public opinion based on the rational graph, and reveal the characteristics and practical significance of the network public opinion transmission of hotspot events.