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三元空间视角下应急情报支持的风险溯源模型构建

刘毅洲 黄微

科技情报研究2025,Vol.7Issue(2):122-132,11.
科技情报研究2025,Vol.7Issue(2):122-132,11.DOI:10.19809/j.cnki.kjqbyj.2025.02.011

三元空间视角下应急情报支持的风险溯源模型构建

Research on Emergency Intelligence Risk Traceability from the Perspective of Three Dimensional Space

刘毅洲 1黄微1

作者信息

  • 1. 吉林大学商学与管理学院,长春 130022
  • 折叠

摘要

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 ad-dressed 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 construct-ed for seven elements including event risk sources and environmental risk sources,and empirical research is conduct-ed.[Result/conclusion]Physical spatial risk sources play a crucial role in the process of risk transmission to other spac-es,with a relatively dense distribution in the early stages of risk outbreaks,while the distribution of risk sources in so-cial 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 irra-tional behavior between nodes.The social spatial risk characteristics of information risk sources are not obvious.

关键词

风险溯源/三元空间/应急情报支持/智能情报技术/社会治理/风险传导/重大突发事件

Key words

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

引用本文复制引用

刘毅洲,黄微..三元空间视角下应急情报支持的风险溯源模型构建[J].科技情报研究,2025,7(2):122-132,11.

基金项目

国家自然科学基金面上项目"重大突发事件网络舆情受众的参与行为标定、轨迹拟合与靶向导控研究"(编号:72174072) (编号:72174072)

科技情报研究

2096-7144

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