Analysis of identification methods of key nodes in transportation network

doi:10.1088/1674-1056/ac4a6c

Abstract The identification of key nodes plays an important role in improving the robustness of the transportation network. For different types of transportation networks, the effect of the same identification method may be different. It is of practical significance to study the key nodes identification methods corresponding to various types of transportation networks. Based on the knowledge of complex networks, the metro networks and the bus networks are selected as the objects, and the key nodes are identified by the node degree identification method, the neighbor node degree identification method, the weighted k-shell degree neighborhood identification method (KSD), the degree k-shell identification method (DKS), and the degree k-shell neighborhood identification method (DKSN). Take the network efficiency and the largest connected subgraph as the effective indicators. The results show that the KSD identification method that comprehensively considers the elements has the best recognition effect and has certain practical significance.

Keywords: transportation network key node identification KSD identification method network efficiency

Received: 04 December 2021
Revised: 31 December 2021
Accepted manuscript online: 12 January 2022

PACS:

89.75.Fb

(Structures and organization in complex systems)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61961019) and the Youth Key Project of the Natural Science Foundation of Jiangxi Province of China (Grant No. 20202ACBL212003).

Corresponding Authors: Qiang Lai
E-mail: laiqiang87@126.com

Cite this article:

Qiang Lai(赖强) and Hong-Hao Zhang(张宏昊) Analysis of identification methods of key nodes in transportation network 2022 Chin. Phys. B 31 068905

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