Abstract
In an era of global interconnectedness, transportation networks serve as vital conduits for international relations, trade, and cultural exchange. Previous research has extensively examined the worldwide air transportation network at three distinct levels: global, regional, and national, with contributions from various researchers shedding light on different facets of the network. Focusing on densely connected regions that extend from other dense areas, this study unveils the hierarchical structure of the global air transport network. Results emphasize the multi-level nature of the network, from significant regions to country-based divisions and ultimately to the intricate hub-and-spoke model. One observes increased hub dominance and negative assortativity values as one delves deeper into the network’s hierarchy. This investigation brings a more comprehensive understanding of the global air transport network and its intricate hierarchical organization.
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References
Guimera, R., Amaral, L.A.N.: Modeling the world-wide airport network. Eur. Phys. J. B 38(2), 381–385 (2004)
Guimera, R., Mossa, S., Turtschi, A., Amaral, L.A.N.: The worldwide air transportation network: anomalous centrality, community structure, and cities’ global roles. In: Proceedings of the National Academy of Sciences, 102(22), 7794–7799 (2005)
Sun, X., Wandelt, S., Zanin, M.: Worldwide air transportation networks: a matter of scale and fractality? Transportmetrica A: Transp. Sci. 13(7), 607–630 (2017)
Cheung, T.K.Y., Wong, C.W.H., Zhang, A.: The evolution of aviation network: global airport connectivity index 2006–2016. Transp. Res. Part E: Logist. Transp. Rev. 133, 101826 (2020)
Diop, I.M., Cherifi, C., Diallo, C., Cherifi, H.: Revealing the component structure of the world air transportation network. Appl. Netw. Sci. 6(1), 1–50 (2021)
Lordan, O., Sallan, J.M.: Analyzing the multilevel structure of the European airport network. Chinese J. Aeronaut. 30(2), 554–560 (2017)
Dai, L., Derudder, B., Liu, X.: The evolving structure of the southeast Asian air transport network through the lens of complex networks, 1979–2012. J. Transp. Geogr. 68, 67–77 (2018)
Guida, M., Maria, F.: Topology of the Italian airport network: a scale-free small-world network with a fractal structure? Chaos, Solitons Fractals 31(3), 527–536 (2007)
Bagler, G.: Analysis of the airport network of India as a complex weighted network. Phys. A 387(12), 2972–2980 (2008)
Cherifi, H., Palla, G., Szymanski, B.K., Lu, X.: On community structure in complex networks: challenges and opportunities. Appl. Netw. Sci. 4(1), 1–35 (2019)
Orman, K., Labatut, V., Cherifi, H.: An empirical study of the relation between community structure and transitivity. In: Complex Networks, pp. 99–110. Springer Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-30287-9_11
Gupta, N., Singh, A., Cherifi, H.: Community-based immunization strategies for epidemic control. In: 2015 7th International Conference on Communication Systems and Networks (COMSNETS), pp. 1–6. IEEE (2015)
Chakraborty, D., Singh, A., Cherifi, H.: Immunization strategies based on the overlapping nodes in networks with community structure. In: Nguyen, H.T.T., Snasel, V. (eds.) CSoNet 2016. LNCS, vol. 9795, pp. 62–73. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42345-6_6
Kumar, M., Singh, A., Cherifi, H.: An efficient immunization strategy using overlapping nodes and its neighborhoods. In: Companion Proceedings of the The Web Conference, vol. 2018, pp. 1269–1275 (2018)
Lasfar, A., Mouline, S., Aboutajdine, D., Cherifi, H.: Content-based retrieval in fractal coded image databases. In: Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, vol. 1, pp. 1031–1034. IEEE (2000)
Demirkesen, C., Cherifi, H.: A comparison of multiclass SVM methods for real world natural scenes. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2008. LNCS, vol. 5259, pp. 752–763. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88458-3_68
Hamidi, M., Chetouani, A., El Haziti, M., El Hassouni, M., Cherifi, H.: Blind robust 3D mesh watermarking based on mesh saliency and wavelet transform for copyright protection. Information 10(2), 67 (2019)
Orman, G.K., Labatut, V., Cherifi, H.: Towards realistic artificial benchmark for community detection algorithms evaluation. Int. J. Web Based Commun. 9(3), 349–370 (2013)
Ghalmane, Z., Cherifi, C., Cherifi, H., El Hassouni, M.: Extracting backbones in weighted modular complex networks. Sci. Rep. 10(1), 15539 (2020)
Rajeh, S., Savonnet, M., Leclercq, E., Cherifi, H.: Interplay between hierarchy and centrality in complex networks. IEEE Access 8, 129717–129742 (2020)
Rajeh, S., Savonnet, M., Leclercq, E., Cherifi, H.: Characterizing the interactions between classical and community-aware centrality measures in complex networks. Sci. Rep. 11(1), 10088 (2021)
Rajeh, S., Savonnet, M., Leclercq, E., Cherifi, H.: Comparative evaluation of community-aware centrality measures. Quality Quantity 57(2), 1273–1302 (2023)
Alves, L.G.A., Aleta, A., Rodrigues, F.A., Moreno, Y., Amaral, L.A.N.: Centrality anomalies in complex networks as a result of model over-simplification. New J. Phys. 22(1), 013043 (2020)
Schaub, M.T., Li, J., Peel, L.: Hierarchical community structure in networks. Phys. Rev. E 107(5), 054305 (2023)
Polanco, A., Newman, M.E.J.: Hierarchical core-periphery structure in networks. arXiv preprint arXiv:2301.03630 (2023)
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Diop, I.M., Diallo, C., Cherifi, C., Cherifi, H. (2024). On the Hierarchical Component Structure of the World Air Transport Network. In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M. (eds) Complex Networks & Their Applications XII. COMPLEX NETWORKS 2023. Studies in Computational Intelligence, vol 1142. Springer, Cham. https://doi.org/10.1007/978-3-031-53499-7_19
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