Open Access
Issue
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
Article Number 00068
Number of page(s) 19
DOI https://doi.org/10.1051/e3sconf/202568000068
Published online 19 December 2025
  1. Ducruet C. The geography of maritime networks: A critical review. Journal of Transport Geography, 2020, https://doi.org/10.1016/j.jtrangeo.2020.102824 [Google Scholar]
  2. Pablo-Martí F, Sánchez A. Improving transportation networks: Effects of population structure and decision making policies. Scientific Reports, (2017), 7(1), 4498, https://doi.org/10.1038/s41598-017-04892-2 [Google Scholar]
  3. Newman, Mark. Networks: An Introduction. 1st edn (Oxford, 2010; online edn, Oxford Academic, 1 Sept. 2010), https://doi.org/10.1093/acprof:oso/9780199206650.001.0001 [Google Scholar]
  4. ERD O, Renyi A. On random graphs. Publ. Math, 1959, 6, 290-297, https://www.bibsonomy.org /bibtex /99061fc859ba 540d4485abfbce44f298 [Google Scholar]
  5. Xia Y, Hill D J. Attack vulnerability of complex communication networks. IEEE Transactions on Circuits and Systems II: Express Briefs, 2008, 55(1), 65-69, doi: 10.1109/TCSII.2007.908954 [Google Scholar]
  6. Watts D J, Strogatz S H. Collective dynamics of ‘small-world’ networks. Nature, 1998, 393(6684), 440-442, https://doi.org/10.1038/30918 [CrossRef] [Google Scholar]
  7. Barabási A L, Albert R. Emergence of scaling in random networks. Science, 1999, 286(5439), 509-512, doi: 10.1126/science.286.5439.509 [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
  8. Álvarez N G, Adenso-Díaz B, Calzada-Infante L. Maritime traffic as a complex network: A systematic review. Networks and Spatial Economics, 2021, 21(2), 387-417, https://doi.org/10.1016/j.aap.2016.04.030 [Google Scholar]
  9. Wu J, Zhong J, Chen Z, Chen B. Optimal coupling patterns in interconnected communication networks. IEEE Transactions on Circuits and Systems II: Express Briefs, 2018, 65(8), 1109-1113, doi: 10.1109/TCSII.2018.2808297 [Google Scholar]
  10. D’Agostino G, Scala A. Networks of networks: the last frontier of complexity. Berlin: Springer 2014, Vol. 340, https://link.springer.com/book/10.1007/978-3-319-03518-5 [Google Scholar]
  11. Zhang J, Ma J, Li H J. An efficient link closing strategy for improving traffic capacity on scale-free networks. Physica A: Statistical Mechanics and its Applications, 2022, 604, 127887, https://doi.org/10.1016/j.physa.2022.127887 [Google Scholar]
  12. Bamaarouf O, Alweimine A O B, Rachadi A, Ez-Zahraouy H. Selective epidemic vaccination under the performant routing algorithms. Physica A: Statistical Mechanics and its Applications, 2018, 496, 209-219, https://doi.org/10.1016/j.physa.2017.12.148 [Google Scholar]
  13. Boccaletti S, Ivanchenko M, Latora V, Pluchino A, Rapisarda A. Detecting complex network modularity by dynamical clustering. Physical Review E, 2007, 75(4), 045102, https://doi.org/10.1103/PhysRevE.75.045102 [Google Scholar]
  14. Guimera R, Arenas A, Díaz-Guilera A, Giralt F. Dynamical properties of model communication networks. Physical Review E, 2002, 66(2), 026704, https://doi.org/10.1103/PhysRevE.66.026704 [Google Scholar]
  15. Guimerà R, Díaz-Guilera A, Vega-Redondo F, Cabrales A, Arenas A. Optimal network topologies for local search with congestion. Physical review letters, 2002, 89(24), 248701, https://doi.org/10.1103/PhysRevLett.89.248701 [Google Scholar]
  16. Zhao L, Lai Y C, Park K, Ye N. Onset of traffic congestion in complex networks. Physical Review E, 2005, 71(2), 026125, https://doi.org/10.1103/PhysRevE.71.026125 [Google Scholar]
  17. Chen S, Huang W, Cattani C, Altieri G. Traffic dynamics on complex networks: a survey. mathematical Problems in engineering, 2012, doi:10.1155/2012/732698 [Google Scholar]
  18. Ling X, Hu M B, Jiang R, Wu Q S. Global dynamic routing for scale-free networks. Physical Review E, 2010, 81(1), 016113, https://doi.org/10.1103/PhysRevE.81.016113 [Google Scholar]
  19. Wang W X, Yin C Y, Yan G, Wang B H. Integrating local static and dynamic information for routing traffic. Physical Review E, 2006, 74(1), 016101, https://doi.org/10.1103/PhysRevE.74.016101 [Google Scholar]
  20. Newman M E. Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality.Physical review E, 2001, 64(1), 016132, https://doi.org/10.1103/PhysRevE.64.016132 [Google Scholar]
  21. LEE E J, GOH K-I, KAHNG B, et al. Robustness of the avalanche dynamics in data-packet transport on scale-free networks. Physical Review E, 2005, vol. 71, no 5, p. 056108, https://doi.org/10.1103/PhysRevE.71.056108 [Google Scholar]
  22. Sole-Ribalta A, Gomez S, Arenas A. Congestion induced by the structure of multiplex networks. Phys. Rev. Lett, 2016, vol. 116, no. 10, p. 108701, https://doi.org/10.1103/PhysRevLett.116.108701 [Google Scholar]
  23. Buldyrev S V, Parshani R, Paul G, Stanley H E, Havlin S. Catastrophic cascade of failures in interdependent networks. Nature, 2010, vol. 464, no. 7291, pp. 1025–1028, https://doi.org/10.1038/nature08932 [Google Scholar]
  24. Hu Y, Ksherim B, Cohen R, Havlin S. Percolation in interdependent and interconnected networks: Abrupt change from second-to first-order transitions. Phys. Rev. E, 2011, vol. 84, no. 6, p. 06-6116, doi: https://doi.org/10.1103/PhysRevE.84.066116 [Google Scholar]
  25. Tan, F, Wu J, Xia Y, & Tse C K. Traffic congestion in interconnected complex networks. Physical Review E, 2014, 89(6), 062813, https://doi.org/10.1103/PhysRevE.89.062813 [Google Scholar]
  26. J.O. Kephart, S.R. White, Proc. IEEE Comp. Soc. Symp., Vol. 343, 1991. [Google Scholar]
  27. P.V. Mieghem, J. Omic, R. Kooij, IEEE ACM Trans. Net. 17 (2009). [Google Scholar]
  28. J. Amador, Appl. Math. Comput. 232 (2014) 1112. [Google Scholar]
  29. X. Han, Q. Tan, Appl. Math. Comput. 217 (2010) 2520. [Google Scholar]
  30. C. Gan, X. Yang, Q. Zhu, Nonlinear Dyn. 73 (2013) 1615. [Google Scholar]
  31. R. Pastor-Satorras, A. Vespignani, Phys. Rev. Lett. 86 (2001) 3200. [CrossRef] [PubMed] [Google Scholar]
  32. M. Barthélemy, A. Barrat, R. Pastor-Satorras, A. Vespignani, Phys. Rev. Lett. 92 (2004) 178701. [Google Scholar]
  33. S. Meloni, A. Arena, Y. Moreno, Proc. Natl. Acad. Sci. USA 106 (2009) 16897. [Google Scholar]
  34. S. Meloni, N. Perra, A. Arenas, S. Gomez, Y. Moreno, A. Vespignani, Sci. Rep. 1 (2011) 62. [Google Scholar]
  35. Y. Han-Xin, W. Wen-Xu, L. Ying-Cheng, Chaos 22 (2012) 043146. [Google Scholar]
  36. Zhang B, Liu R, Massey D, Zhang L. Collecting the Internet AS-level topology. ACM SIGCOMM Computer Communication Review, 2005, 35(1), 53-61, doi: 10.1145/1052812.1052825 [Google Scholar]
  37. Rekhter Y, Li T, Hares S. A border gateway protocol 4 (BGP-4), 2016, (No. rfc4271), https://www.rfc-editor.org/rfc/rfc4271 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.