Logo du site
  • English
  • Français
  • Se connecter
Logo du site
  • English
  • Français
  • Se connecter
  1. Accueil
  2. Université de Neuchâtel
  3. Publications
  4. Node-weighted measures for complex networks with directed and weighted edges for studying continental moisture recycling
 
  • Details
Options
Vignette d'image

Node-weighted measures for complex networks with directed and weighted edges for studying continental moisture recycling

Auteur(s)
Zemp, Clara 
Institut de biologie 
M. Wiedermann
J. Kurths
A. Rammig
J. F. Donges
Date de parution
2014
In
EPL (Europhysics Letters)
Vol.
107
No
5
De la page
1
A la page
6
Résumé
In many real-world networks nodes represent agents or objects of different sizes or importance. However, the size of the nodes is rarely taken into account in network analysis, possibly inducing bias in network measures and confusion in their interpretation. Recently, a new axiomatic scheme of node-weighted network measures has been suggested for networks with undirected and unweighted edges. However, many real-world systems are best represented by complex networks which have directed and/or weighted edges. Here, we extend this approach and suggest new versions of the degree and the clustering coefficient associated to network motifs for networks with directed and/or weighted edges and weighted nodes. We apply these measures to a spatially embedded network model and a real-world moisture recycling network. We show that these measures improve the representation of the underlying systems' structure and are of general use for studying any type of complex network.
Identifiants
https://libra.unine.ch/handle/123456789/33028
_
10.1209/0295-5075/107/58005
Type de publication
journal article
Dossier(s) à télécharger
 zemp_etal_kurths_2014_02955075_107_5_58005.pdf (974.29 KB)
google-scholar
Présentation du portailGuide d'utilisationStratégie Open AccessDirective Open Access La recherche à l'UniNE Open Access ORCIDNouveautés

Service information scientifique & bibliothèques
Rue Emile-Argand 11
2000 Neuchâtel
contact.libra@unine.ch

Propulsé par DSpace, DSpace-CRIS & 4Science | v2022.02.00