Routes Obey Hierarchy in Complex Networks.

Details

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State: Public
Version: Final published version
Serval ID
serval:BIB_0F6EDBFABB56
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Routes Obey Hierarchy in Complex Networks.
Journal
Scientific reports
Author(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
Publication state
Published
Issued date
03/08/2017
Peer-reviewed
Oui
Volume
7
Number
1
Pages
7243
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
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
Yes
Create date
07/08/2017 12:29
Last modification date
20/08/2019 13:36
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