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Identification of key nodes and vital edges in aviation network based on minimum connected dominating set

Author

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  • Li, Jiawei
  • Wen, Xiangxi
  • Wu, Minggong
  • Liu, Fei
  • Li, Shuangfeng

Abstract

Identification of key nodes and vital edges are of great importance in aviation network. On the basis of the minimum connected dominating set (MCDS), a backbone network identification method in aviation network was proposed. Key nodes and vital edges are combined as core backbone subnet. The binary particle swarm optimization (BPSO) algorithm is adopted to solve the MCDS problem. Immune mechanism was introduced to guide the search direction of particle nodes to improve the convergence speed of the algorithm. The experiments on artificial network, China airport aviation network and East China airline network show that method is more comprehensive and accurate than other method based on single metric (e.g. degree and closeness centrality methods). And identification results are in good agreement with the actual situation and has high application value in aviation network.

Suggested Citation

  • Li, Jiawei & Wen, Xiangxi & Wu, Minggong & Liu, Fei & Li, Shuangfeng, 2020. "Identification of key nodes and vital edges in aviation network based on minimum connected dominating set," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    • Handle: RePEc:eee:phsmap:v:541:y:2020:i:c:s0378437119318692
    DOI: 10.1016/j.physa.2019.123340
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    References listed on IDEAS

    as
    1. Jiang, Zhong-Yuan & Zeng, Yong & Liu, Zhi-Hong & Ma, Jian-Feng, 2019. "Identifying critical nodes’ group in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 121-132.
    2. Tang, Jinjun & Yang, Yifan & Qi, Yong, 2018. "A hybrid algorithm for Urban transit schedule optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 745-755.
    3. Wen, Xiangxi & Tu, Congliang & Wu, Minggong, 2018. "Node importance evaluation in aviation network based on “No Return” node deletion method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 546-559.
    4. Churchill, Andrew M. & Lovell, David J., 2012. "Coordinated aviation network resource allocation under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 19-33.
    5. Wen, Xiangxi & Tu, Congliang & Wu, Minggong & Jiang, Xurui, 2018. "Fast ranking nodes importance in complex networks based on LS-SVM method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 11-23.
    6. Fei, Liguo & Zhang, Qi & Deng, Yong, 2018. "Identifying influential nodes in complex networks based on the inverse-square law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1044-1059.
    7. Du, Yuxian & Gao, Cai & Hu, Yong & Mahadevan, Sankaran & Deng, Yong, 2014. "A new method of identifying influential nodes in complex networks based on TOPSIS," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 57-69.
    8. Henryk Gurgul & Łukasz Lach, 2018. "Some remarks on a social network approach to identifying key sectors," Economic Systems Research, Taylor & Francis Journals, vol. 30(1), pages 120-135, January.
    9. Namtirtha, Amrita & Dutta, Animesh & Dutta, Biswanath, 2018. "Identifying influential spreaders in complex networks based on kshell hybrid method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 310-324.
    10. Qi, Xingqin & Song, Huimin & Wu, Jianliang & Fuller, Edgar & Luo, Rong & Zhang, Cun-Quan, 2017. "Eb&D: A new clustering approach for signed social networks based on both edge-betweenness centrality and density of subgraphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 147-157.
    11. Haifeng Du & Xiaochen He & Wei Du & Marcus W. Feldman, 2017. "Optimization of the Critical Diameter and Average Path Length of Social Networks," Complexity, Hindawi, vol. 2017, pages 1-11, March.
    12. Lordan, Oriol & Sallan, Jose M. & Escorihuela, Nuria & Gonzalez-Prieto, David, 2016. "Robustness of airline route networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 18-26.
    13. Saikou Y. Diallo & Christopher J. Lynch & Ross Gore & Jose J. Padilla, 2016. "Identifying key papers within a journal via network centrality measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1005-1020, June.
    14. Wang, Xingyuan & Zhou, Wenjie & Li, Rui & Cao, Jianye & Lin, Xiaohui, 2018. "Improving robustness of interdependent networks by a new coupling strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1075-1080.
    15. Cui, Yaozu & Wang, Xingyuan & Li, Junqiu, 2014. "Detecting overlapping communities in networks using the maximal sub-graph and the clustering coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 85-91.
    16. Nian, Fuzhong & Hu, Chasheng & Yao, Shuanglong & Wang, Longjing & Wang, Xingyuan, 2018. "An immunization based on node activity," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 228-233.
    17. Wang, Jiaoe & Mo, Huihui & Wang, Fahui & Jin, Fengjun, 2011. "Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach," Journal of Transport Geography, Elsevier, vol. 19(4), pages 712-721.
    18. Xiao, Mingming & Cai, Kaiquan & Abbass, Hussein A., 2018. "Hybridized encoding for evolutionary multi-objective optimization of air traffic network flow: A case study on China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 35-55.
    19. Li, Dongyan & Wang, Xingyuan & Huang, Penghe, 2017. "A fractal growth model: Exploring the connection pattern of hubs in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 200-211.
    20. Wang, Xingyuan & Li, Junqiu, 2013. "Detecting communities by the core-vertex and intimate degree in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2555-2563.
    21. Yan, Ying & Zhang, Shen & Tang, Jinjun & Wang, Xiaofei, 2017. "Understanding characteristics in multivariate traffic flow time series from complex network structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 477(C), pages 149-160.
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