Abstract: Under the new development pattern, it is particularly important to enhance the risk resistance capability of China'sall-cargo aviation network. This paper first constructs an undirected weighted topological network structure basedon China's all-cargo air route data in 2023, then identifies key nodes and edges in the topological network usingdifferent methods, and finally explores the changing trends of network efficiency of the all-cargo aviation networkunder different attack strategies. The results show that the node degrees in both China's domestic all-cargo avia-tion network (referred to as the domestic network) and international all-cargo aviation network (referred to as theintemational network) follow an exponential distribution. In identifying key nodes in the domestic network, thePageRank algorithm outperforms the comprehensive degree method but is comparable to the node degree method,with both reaching the collapse threshold of network efficiency when the node failure ratio is 40%. The interna-tional network generally has weaker risk resistance capability than the domestic network, especially showinggreater vulnerability under edge failure scenarios. Based on the findings of this study, it is recommended toincrease the frequency of existing international all-cargo fights and continuously launch new intemational all-cargo air routes to enhance the robustness of the intemational network and the overall network's risk resistancecapability.

Key words: all-cargo aviation network, PageRank algorithm, entropy method, network efficiency