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Scientific Information Research

Keywords

risk traceability, ternary space, emergency intelligence support, artificial intelligence technology, social governance, risk transmission, serious emergencies

Abstract

[Purpose/significance]How to leverage the high value of intelligent intelligence technology and services for risk traceability analysis in the context of large-scale emergency situations is an urgent challenge that needs to be addressed in the governance of risks in an intelligent society. [Method/process]Based on the theory of ternary space, the risk of emergencies is divided into three dimensions: physical space, social space, and information space. Intelligent intelligence technologies such as large model causal relationship extraction, complex network analysis, and natural language processing are applied to collect and analyze emergency intelligence. A risk traceability model is constructed for seven elements including event risk sources and environmental risk sources, and empirical research is conducted. [Result/conclusion]Physical spatial risk sources play a crucial role in the process of risk transmission to other spaces, with a relatively dense distribution in the early stages of risk outbreaks, while the distribution of risk sources in social and information spaces exhibits a phase lag effect with similar periodicity over time. The emotional risk sources in the information space are mostly located at the core of the node network, which is an important factor in triggering irrational behavior between nodes. The social spatial risk characteristics of information risk sources are not obvious.

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2025.02.011

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