# A Review of Supply Chain Resilience: A Network Modeling Perspective
## 2 Overview of Supply Chain Resilience Development
### Current State of Research on Supply Chain Resilience  
Supply chain resilience refers to the ability of a supply chain to maintain its functions, quickly recover, and adapt to changes when facing various disruptions and uncertainties. In today's VUCA era (characterized by Volatility, Uncertainty, Complexity, and Ambiguity), the challenges confronting supply chains have become increasingly prominent, making research and practice on supply chain resilience particularly critical [26]. Moreover, against the backdrop of global trade growth and the expansion of e-commerce, supply chains have become more complex and, consequently, more vulnerable to various natural and human-induced disruptions, such as natural disasters, accidents, trade conflicts, wars, and strikes [27]. The fragility of supply chains is particularly pronounced within the constantly shifting global economic, commercial, and political landscape. Therefore, enhancing supply chain resilience has emerged as a key strategy for maintaining supply chain stability [28]. Supply chain resilience has gradually become a focal point in academic research, particularly in recent years, as global supply chains have faced significant disruptions due to events such as the COVID-19 pandemic and the Russia-Ukraine conflict. These events have heightened awareness among scholars regarding the importance of studying supply chain resilience [29]. A systematic and comprehensive analysis of the current state of supply chain resilience research was conducted using bibliometric analysis tools to explore the research frontiers and developmental trajectory in this field. Figure 2: Conceptual comparison diagram. (Note: The performance–time curve under attack elucidates the differences and relationships among the system’s diverse attributes. Robustness focuses on the system’s performance change during the resistance phase of the attack (from \(t_{d}\) to \(t_{r}\)). Resilience includes the entire process of the system’s resistance to the attack and recovery to a new steady state (from \(t_{d}\) to \(t_{s}\)). Flexibility describes how the system absorbs and adapts to external changes to reach a new equilibrium). Co-citation analysis enables exploring the development and evolutionary dynamics within a specific research domain. By constructing a co-citation network, stronger citation relationships can be observed among studies within the same research direction. Through clustering, the primary research areas within the field can be identified. Using the search term TS = \"Supply Chain Resilience\" in the Web of Science database, searches were conducted in both the \"SCI-E\" and \"SSCI\" databases to ensure data accuracy. After filtering for \"Article\" and \"Review\" document types, 1170 papers were identified. These were imported into CiteSpace (6.2R6) for co-citation analysis. The clustering results are shown in Figure 3, with cluster labels generated based on the keywords of the clustered documents. The reddest clusters represent the current research hotspots. Figure 3: (**a**) Clustering map of the co-citation network and (**b**) timeline visualization of the co-citation network. (Note: In subfigure (**a**), each cluster represents a specific research direction in the field of supply chain resilience. The larger the cluster, the more publications are associated with that research direction. The color gradient, from purple to red, indicates the development of the research, with red representing the recent research directions. In subfigure (**b**), each cluster from (**a**) is expanded chronologically, forming a timeline. Edges connecting nodes indicate instances where two publications are co-cited by the same paper. The denser the connections between nodes, the greater the volume of publications during that period. The color red indicates research directions that have become hotspots in recent years). It is evident that research on supply chain resilience has emerged as a rapidly growing field in recent years.