Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance

Wang Nana; Shao Kaixuan

doi:doi:10.11648/j.sd.20221002.22

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Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance

Wang Nana, Shao Kaixuan

Published in Science Discovery (Volume 10, Issue 2)

Received: 10 May 2022 Published: 12 May 2022

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Abstract

In order to study the weak links of the China-Europe freight train logistics network, the countries and cities along the route are counted, and the China-Europe freight train container logistics network is constructed, and a node importance analysis method is designed by combining the node degree and betweenness of the network. In this paper, random attack and deliberate attack are used to study the changes of network characteristic values, such as the average degree of the network, the proportion of isolated nodes, the average path length, and the network efficiency. The research shows that under the deliberate attack, the node average degree, aggregation coefficient, network efficiency, and average path length of the China-Europe train network decrease rapidly with the increase of the attack ratio and decrease to 0. Under random attack, the average node degree, network efficiency, and average path length of the network show a slow decrease trend with the increase of the attack ratio, and the aggregation coefficient shows a trend of slow increase and then decrease. The isolated node is no longer connected to other nodes under the deliberate attack and random attack, so the attacked node is the isolated point, which increases the cardinality of the isolated node. The China Railway Express network is relatively strong under random attacks, and relatively vulnerable when it is deliberately attacked. It is found that some nodes in the China Railway Express play an important role in the connectivity of the network.

Published in	Science Discovery (Volume 10, Issue 2)
DOI	10.11648/j.sd.20221002.22
Page(s)	88-91
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

China Railway Express, Complex Network, Vulnerability

References

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APA Style

Wang Nana, Shao Kaixuan. (2022). Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance. Science Discovery, 10(2), 88-91. https://doi.org/10.11648/j.sd.20221002.22

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ACS Style

Wang Nana; Shao Kaixuan. Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance. Sci. Discov. 2022, 10(2), 88-91. doi: 10.11648/j.sd.20221002.22

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AMA Style

Wang Nana, Shao Kaixuan. Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance. Sci Discov. 2022;10(2):88-91. doi: 10.11648/j.sd.20221002.22

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@article{10.11648/j.sd.20221002.22,
  author = {Wang Nana and Shao Kaixuan},
  title = {Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance},
  journal = {Science Discovery},
  volume = {10},
  number = {2},
  pages = {88-91},
  doi = {10.11648/j.sd.20221002.22},
  url = {https://doi.org/10.11648/j.sd.20221002.22},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20221002.22},
  abstract = {In order to study the weak links of the China-Europe freight train logistics network, the countries and cities along the route are counted, and the China-Europe freight train container logistics network is constructed, and a node importance analysis method is designed by combining the node degree and betweenness of the network. In this paper, random attack and deliberate attack are used to study the changes of network characteristic values, such as the average degree of the network, the proportion of isolated nodes, the average path length, and the network efficiency. The research shows that under the deliberate attack, the node average degree, aggregation coefficient, network efficiency, and average path length of the China-Europe train network decrease rapidly with the increase of the attack ratio and decrease to 0. Under random attack, the average node degree, network efficiency, and average path length of the network show a slow decrease trend with the increase of the attack ratio, and the aggregation coefficient shows a trend of slow increase and then decrease. The isolated node is no longer connected to other nodes under the deliberate attack and random attack, so the attacked node is the isolated point, which increases the cardinality of the isolated node. The China Railway Express network is relatively strong under random attacks, and relatively vulnerable when it is deliberately attacked. It is found that some nodes in the China Railway Express play an important role in the connectivity of the network.},
 year = {2022}
}

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TY  - JOUR
T1  - Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance
AU  - Wang Nana
AU  - Shao Kaixuan
Y1  - 2022/05/12
PY  - 2022
N1  - https://doi.org/10.11648/j.sd.20221002.22
DO  - 10.11648/j.sd.20221002.22
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 88
EP  - 91
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20221002.22
AB  - In order to study the weak links of the China-Europe freight train logistics network, the countries and cities along the route are counted, and the China-Europe freight train container logistics network is constructed, and a node importance analysis method is designed by combining the node degree and betweenness of the network. In this paper, random attack and deliberate attack are used to study the changes of network characteristic values, such as the average degree of the network, the proportion of isolated nodes, the average path length, and the network efficiency. The research shows that under the deliberate attack, the node average degree, aggregation coefficient, network efficiency, and average path length of the China-Europe train network decrease rapidly with the increase of the attack ratio and decrease to 0. Under random attack, the average node degree, network efficiency, and average path length of the network show a slow decrease trend with the increase of the attack ratio, and the aggregation coefficient shows a trend of slow increase and then decrease. The isolated node is no longer connected to other nodes under the deliberate attack and random attack, so the attacked node is the isolated point, which increases the cardinality of the isolated node. The China Railway Express network is relatively strong under random attacks, and relatively vulnerable when it is deliberately attacked. It is found that some nodes in the China Railway Express play an important role in the connectivity of the network.
VL  - 10
IS  - 2
ER  -

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Author Information

Wang Nana

School of Liberal Education, Liaoning University of International Business and Economics, Dalian, China
Shao Kaixuan

School of Liberal Education, Liaoning University of International Business and Economics, Dalian, China

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Plain Text BibTeX RIS

APA Style

Wang Nana, Shao Kaixuan. (2022). Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance. Science Discovery, 10(2), 88-91. https://doi.org/10.11648/j.sd.20221002.22

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ACS Style

Wang Nana; Shao Kaixuan. Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance. Sci. Discov. 2022, 10(2), 88-91. doi: 10.11648/j.sd.20221002.22

Copy | Download

AMA Style

Wang Nana, Shao Kaixuan. Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance. Sci Discov. 2022;10(2):88-91. doi: 10.11648/j.sd.20221002.22

Copy | Download

@article{10.11648/j.sd.20221002.22,
  author = {Wang Nana and Shao Kaixuan},
  title = {Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance},
  journal = {Science Discovery},
  volume = {10},
  number = {2},
  pages = {88-91},
  doi = {10.11648/j.sd.20221002.22},
  url = {https://doi.org/10.11648/j.sd.20221002.22},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20221002.22},
  abstract = {In order to study the weak links of the China-Europe freight train logistics network, the countries and cities along the route are counted, and the China-Europe freight train container logistics network is constructed, and a node importance analysis method is designed by combining the node degree and betweenness of the network. In this paper, random attack and deliberate attack are used to study the changes of network characteristic values, such as the average degree of the network, the proportion of isolated nodes, the average path length, and the network efficiency. The research shows that under the deliberate attack, the node average degree, aggregation coefficient, network efficiency, and average path length of the China-Europe train network decrease rapidly with the increase of the attack ratio and decrease to 0. Under random attack, the average node degree, network efficiency, and average path length of the network show a slow decrease trend with the increase of the attack ratio, and the aggregation coefficient shows a trend of slow increase and then decrease. The isolated node is no longer connected to other nodes under the deliberate attack and random attack, so the attacked node is the isolated point, which increases the cardinality of the isolated node. The China Railway Express network is relatively strong under random attacks, and relatively vulnerable when it is deliberately attacked. It is found that some nodes in the China Railway Express play an important role in the connectivity of the network.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Invulnerability of China Railway Express Logistics Network Based on Node Importance
AU  - Wang Nana
AU  - Shao Kaixuan
Y1  - 2022/05/12
PY  - 2022
N1  - https://doi.org/10.11648/j.sd.20221002.22
DO  - 10.11648/j.sd.20221002.22
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 88
EP  - 91
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20221002.22
AB  - In order to study the weak links of the China-Europe freight train logistics network, the countries and cities along the route are counted, and the China-Europe freight train container logistics network is constructed, and a node importance analysis method is designed by combining the node degree and betweenness of the network. In this paper, random attack and deliberate attack are used to study the changes of network characteristic values, such as the average degree of the network, the proportion of isolated nodes, the average path length, and the network efficiency. The research shows that under the deliberate attack, the node average degree, aggregation coefficient, network efficiency, and average path length of the China-Europe train network decrease rapidly with the increase of the attack ratio and decrease to 0. Under random attack, the average node degree, network efficiency, and average path length of the network show a slow decrease trend with the increase of the attack ratio, and the aggregation coefficient shows a trend of slow increase and then decrease. The isolated node is no longer connected to other nodes under the deliberate attack and random attack, so the attacked node is the isolated point, which increases the cardinality of the isolated node. The China Railway Express network is relatively strong under random attacks, and relatively vulnerable when it is deliberately attacked. It is found that some nodes in the China Railway Express play an important role in the connectivity of the network.
VL  - 10
IS  - 2
ER  -

Copy | Download