Complexity Analysis of Chinese Railway Express Freight Transportation Network
MA Liang1,2, JIN Fucai3, HU Chenhan3
1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China; 2. The Center of National Railway Intelligent Transportation System Engineering and Technology, Beijing 100844, China; 3. Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
Abstract：In order to improve the accuracy of complex network model and the comprehensiveness of complexity analysis, the method of modeling undirected weighted complex network of CREFTN in L-space (UWCN-CREFTN), the comprehensive importance evaluation index of the nodes and network robustness analysis method considering node failure based on comprehensive importance index are proposed. Based on the timetable and wagon-flow data, the results of analyzing the topological characteristics of UWCN-CREFTN show that CREFTN is a small-world network which has high heterogeneity, strength-degree positive correlation, point-weighted equality, weighted non-homogeneous matching, strength-strength negative correlation at present. Based on network efficiency and node importance, the results of analyzing the robustness of UWCN-CREFTN contrastively under four situations at two aspects show that the random failure of nodes makes the network more robust than vandalism, maximum-comprehensive-importance vandalism make the network more vulnerable than maximum-strength vandalism and completely collapse faster than maximum-weighted-betweenness vandalism, which indicates that the proposed comprehensive importance evaluation index has the dual characteristics of node strength and node weighted betweenness.
马亮, 金福才, 胡宸瀚. 中国铁路快捷货物运输网络复杂性分析[J]. 复杂系统与复杂性科学, 2023, 20(4): 26-32.
MA Liang, JIN Fucai, HU Chenhan. Complexity Analysis of Chinese Railway Express Freight Transportation Network. Complex Systems and Complexity Science, 2023, 20(4): 26-32.
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