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Transport collapse in dynamically evolving networks

  • Geoffroy Berthelot
  • , Liubov Tupikina
  • , Min Yeong Kang
  • , Jérôme Dedecker
  • , Denis Grebenkov
  • de l’expertise et de la performance (INSEP)
  • Research Laboratory for Interdisciplinary Studies (RELAIS)
  • The Center for Research and Interdisciplinarity
  • Bell Labs
  • Learning Planet Institute
  • Inc.
  • Université Paris Descartes

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

1 Citation (Scopus)

Résumé

Transport in complex networks can describe a variety of natural and human-engineered processes including biological, societal and technological ones. However, how the properties of the source and drain nodes can affect transport subject to random failures, attacks or maintenance optimization in the network remain unknown. In this article, the effects of both the distance between the source and drain nodes and the degree of the source node on the time of transport collapse are studied in scale-free and lattice-based transport networks. These effects are numerically evaluated for two strategies, which employ either transport-based or random link removal. Scale-free networks with small distances are found to result in larger times of collapse. In lattice-based networks, both the dimension and boundary conditions are shown to have a major effect on the time of collapse. We also show that adding a direct link between the source and the drain increases the robustness of scale-free networks when subject to random link removals. Interestingly, the distribution of the times of collapse is then similar to the one of lattice-based networks.

langue originaleAnglais
Numéro d'article20220906
journalJournal of the Royal Society Interface
Volume20
Numéro de publication200
Les DOIs
étatPublié - 22 mars 2023

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