Special Issue on Agent for Safety and Security: Complex Network Modeling, Substructure Analysis, Risk Discovery, and Resilience Assessment

Introduction：

AI agents are transforming reshaping emergency management by enabling advanced analysis, reasoning, and knowledge generation. Recent technological achievmentsbreakthroughs—including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-perspective perceptions models technologies—offer new capabilities for risk perception, rare-event discovery, and scenario understanding. These advances are particularly valuable for addressing the heterogeneous, cascading risks of interconnected emergency networks, where conventional forecasting often falls short.

This Special Issue provides an interdisciplinary forum for cutting-edgethe latest research on AI-enabled emergency resilience and rare-event risk discovery, emphasizincoveringg both theoretical innovation and practical applications. We welcome high-quality original research and review articles on agent-based approaches that advance the science and practice of emergency management.

Topics include, but are not limited to:

• Low-probability risk identification and early warning in emergency management
• Knowledge graphs for scenario modeling, risk analysis and emergency intelligence
• Substructure identification and cascading risk analysis in complex networks
• Resilience assessment method through substructure of complex networks
• High-quality datasets, benchmarks, and data resources for risk identification 
• Explainable, trustworthy, and resilient AI in emergency contexts 

We welcome the following types of submissions:We expect this issue to attract:

• Original research articles
• Review articles
• Perspective/discussion papersarticles
• Studies demonstrating howaddressing AI-enabled approaches for improvingcan improve emergency management safety

Important Deadline:

Submission deadline: 28 February 2027

Submission Instructions:

Please read the [Guide for Authors] before submitting. All articles should be [submitted online], please select [SI: Agent for Safety and Security] on submission. If the manuscript is accepted, the article will be published in Open Access, and the costs will be paid by the author.

Guest Editors:

• Dr.  Xinzhi Wang, School of Computer Science and Engineering, Shanghai University, Shanghai, China.
• Dr. Vijayan Sugumaran, School of Business Administration at Oakland University, Rochester, Michigan, USA.
• Dr.  Nengjun Zhu, School of Computer Science and Engineering, Shanghai University, Shanghai, China.
• Dr. Shi-Kuo Chang, Department of Computer Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA