Routes Obey Hierarchy in Complex Networks.

Détails

Ressource 1Télécharger: s41598-017-07412-4.pdf (1765.25 [Ko])
Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_0F6EDBFABB56
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Routes Obey Hierarchy in Complex Networks.
Périodique
Scientific reports
Auteur⸱e⸱s
Csoma A., Kőrösi A., Rétvári G., Heszberger Z., Bíró J., Slíz M., Avena-Koenigsberger A., Griffa A., Hagmann P., Gulyás A.
ISSN
2045-2322 (Electronic)
ISSN-L
2045-2322
Statut éditorial
Publié
Date de publication
03/08/2017
Peer-reviewed
Oui
Volume
7
Numéro
1
Pages
7243
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
The last two decades of network science have discovered stunning similarities in the topological characteristics of real life networks (many biological, social, transportation and organizational networks) on a strong empirical basis. However our knowledge about the operational paths used in these networks is very limited, which prohibits the proper understanding of the principles of their functioning. Today, the most widely adopted hypothesis about the structure of the operational paths is the shortest path assumption. Here we present a striking result that the paths in various networks are significantly stretched compared to their shortest counterparts. Stretch distributions are also found to be extremely similar. This phenomenon is empirically confirmed on four networks from diverse areas of life. We also identify the high-level path selection rules nature seems to use when picking its paths.
Pubmed
Web of science
Open Access
Oui
Création de la notice
07/08/2017 11:29
Dernière modification de la notice
14/07/2023 5:54
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