Robustness Analysis of the World Airline Network Considering Multiple Variables
HU Zuoana,b,c, YANG Jianghaoa, DENG Jinchenga
a. School of Transportation and Logistics; b. National Engineering Laboratory of Integrated Transportation Big Data Application Technology; c. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756,China
Abstract：Due to the inadequacy of using a single indicator to evaluate the air network robustness, it is necessary to further consider multiple indicators and their core variables to propose a comprehensive evaluation method, in order to analyze and evaluate the network robustness comprehensively, this paper considered multiple variables such as the number of remaining nodes, the number of neighbor links, and the shortest path, to establish a comprehensive robustness evaluation index. Set up four failure scenarios and simulated them on the four networks. The simulation results show that, under random failure, the World-Airline Network has the highest robustness among the four networks, and its comprehensive robustness index only drops to zero after almost all nodes fail; under three malicious failure scenarios, the World-Airline Network fails to maintain robustness when a small number of nodes fail, and collapses completely when about 20% of nodes fail; under three malicious failure strategies, the comprehensive robustness curves of the World-Airline Network are basically consistent, which proves the universality of this comprehensive robustness metric.
户佐安, 杨江浩, 邓锦程. 考虑多元变量的世界航空网络综合鲁棒性研究[J]. 复杂系统与复杂性科学, 2026, 23(1): 60-69.
HU Zuoan, YANG Jianghao, DENG Jincheng. Robustness Analysis of the World Airline Network Considering Multiple Variables[J]. Complex Systems and Complexity Science, 2026, 23(1): 60-69.
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