世界菜籽油贸易网络韧性测度与中国地位变迁OA

To address uncertainties in the global rapeseed oil supply chain,this study constructs a worldwide trade network using 2013-2023 UN Comtrade data from 165 countries.We apply complex network theory and so-cial network analysis to measure resilience through random and targeted shock simulations,evaluating four indica-tors:average clustering coefficient,average path length,network connectivity,and network efficiency.China's evolving position is analyzed via eigenvector centrality,PageRank centrality,and interdependence index.Key re-sults reveal:(1)The network exhibits a tripartite structure dominated by North American,European,and East Asian core nodes;while connectivity and efficiency improved,trade power concentration intensified;(2)Targeted attacks on core nodes cause sharp efficiency declines and path length fluctuations(initial surge followed by contraction),with regional clusters providing buffering capacity-though North American nodes show critical single-point vul-nerabilities,and EU restructuring weakened traditional hub functions;(3)China maintains top-three global eigen-vector centrality and has diversified import sources,yet faces a persistent"high centrality-low resilience"structural contradiction.We conclude that enhancing control over critical nodes,optimizing strategic channel resilience,and establishing intelligent risk-control mechanisms are essential for strengthening China's supply chain robustness.