This study focuses on the evolutionary mechanism and governance path of network public opinion in sudden accident-disaster events, taking the "3.13 Yanjiao Gas Explosion Incident" as an empirical case, and constructing a public opinion evolution model based on the theory of Event Logic Graph. The study finds that driven by modern information technology, network public opinion exhibits the characteristics of "interweaving virtual and real elements, and rapid detonation", and the traditional emergency management model faces significant challenges in coping with the complexity of public opinion. By collecting 8,370 pieces of Weibo data through big data mining technology, using syntactic pattern matching and TF-IDF+K-Means clustering algorithms, 25,614 events were extracted and generalized into 267 abstract event pairs, constructing an Event Logic Graph containing 107 nodes and 267 directed edges. The analysis shows that there are three core contradictions in the evolution of public opinion: the value conflict between "efficiency priority" and "public opinion effectiveness" in emergency response, the right mutual exclusion between "risk control" and "public informedness" in safety information disclosure, and the mechanism imbalance between "irrational resonance" and "factual guidance" in emotional communication. Based on this, a three-dimensional response approach is proposed: strengthening government credibility construction through Event Logic Graph early warning, improving conflict prediction and emotional guidance capabilities with dynamic game models, and achieving multi-stakeholder governance of public opinion through cross-subject collaborative networks. The study confirms that the Event Logic Graph can reveal the evolution logic of public opinion by visualizing event transition probabilities, providing a quantitative tool for improving the precision of emergency management.

Tian Qiyu, Zhao Yiming. Research on the Evolution and Response to Network Public Opinion in Accident Disasters. International Journal of New Developments in Engineering and Society (2025), Vol.9, Issue 2: 57-66. https://doi.org/10.25236/IJNDES.2025.090210.

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