Key node identification of container transport network based on muti-layer complex network theory

Xu Zhao; JinYu Wang; Yuqian Qin

doi:10.1117/12.2689417

7 September 2023 Key node identification of container transport network based on muti-layer complex network theory

Xu Zhao, JinYu Wang, Yuqian Qin

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127904N (2023) https://doi.org/10.1117/12.2689417
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

With the development of containerization of cargo, if the key nodes in the container transport network fail, it will inevitably have a serious impact on the entire container transport network. This paper proposes an improved information fusion algorithm to identify key nodes in container transportation network. Firstly, based on the structural characteristics of the container transportation network, this paper constructs a multi-layer network of container transportation. Secondly, a framework is proposed to measure the layer centrality of nodes in a single-layer transport network; Finally, the improved information fusion algorithm is used to obtain the global centrality of nodes; The results show that the top ten node cities identified in this paper are all port. cities, and the results are consistent with the actual situation.

Citation Download Citation

Xu Zhao, JinYu Wang, and Yuqian Qin "Key node identification of container transport network based on muti-layer complex network theory", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127904N (7 September 2023); https://doi.org/10.1117/12.2689417

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