Table 1.
Literature on indicators related to network structure resilience.
Fig 1.
Classification of frozen meat.
Table 2.
Evaluation indicator system for the structural resilience of the global frozen meat trade network.
Fig 2.
Research framework.
Table 3.
Indicators of complex network related features.
Table 4.
Static Structural Resilience Indicators.
Table 5.
Dynamic structural resilience indicators.
Fig 3.
Time series graph of the number of nodes, number of edges, and network density in the trade network from 2003 - 2023.
(a) Nodes. (b) Edges. (c) Network density.
Fig 4.
Temporal variation in the value and volume from 2003 - 2024.
(a) Trade value. (b) Trade volume.
Fig 5.
The topological structure of the trade network in 2003 and 2023.
Fig 6.
Grading map of the change values of the node strength in trade network in 2003 and 2023.
Fig 7.
Map of flow changes of main trade nodes and their connected edges in trade network in 2003 and 2023.
Fig 8.
Evolution of node centrality in the weighted trade network in 2003 and 2023.
Fig 9.
Geographic distribution of trade communities in 2003 and 2023. (The map was created using open-access data from Natural Earth (naturalearthdata.com))illustrates the evolution of the global frozen meat trade network’s community structure from 2003 to 2023, with the following details.
Fig 10.
Evolution of the global efficiency of the trade network.
(a) Unweighted. (b) Weighted.
Fig 11.
Evolution of the average clustering coefficient of the trade network.
(a) Unweighted. (b) Weighted.
Fig 12.
Evolution of the degree distribution of the trade network.
Fig 13.
Evolution of the assortativity coefficient of the trade network.
(a) Unweighted. (b) Weighted.
Fig 14.
Performance loss rate of the trade network based on single node disruption in 2023.
Table 6.
Node importance ranking based on single node disruption network performance loss rate in 2023.
Fig 15.
Comparison of performance loss rates in trade networks due to disruptions at critical nodes in 2023.
Fig 16.
Evolution of the maximum global efficiency loss rate due to a single node of interruption.
Fig 17.
Evolution of the maximum loss rates of node strength due to a single node of interruption.
Table 7.
The most destructive nodes and their occurrence frequencies from 2003 - 2023.
Fig 18.
Evolution of the average retention rate of global efficiency due to the interruption of core nodes.
Fig 19.
Evolution of the average retention rate of node strength due to the interruption of core nodes.