Structural Analysis of Networks

Détails

ID Serval
serval:BIB_227EEEC9D87B
Type
Partie de livre
Collection
Publications
Institution
Titre
Structural Analysis of Networks
Titre du livre
Methods for Multilevel Analysis and Visualisation of Geographical Networks
Auteur(s)
Melançon G., Rozenblat C.
Editeur
Springer
Lieu d'édition
Dordrecht
ISBN
978-94-007-6676-1 (hardback)
978-94-007-6677-8 (paperback)
Statut éditorial
Publié
Date de publication
2013
Editeur scientifique
Rozenblat C., Melançon G.
Série
Methodos Series
Pages
69-80
Langue
anglais
Notes
melancon_structural_2013
Résumé
Network analysis naturally relies on graph theory and, more particularly, on the use of node and edge metrics to identify the salient properties in graphs. When building visual maps of networks, these metrics are turned into useful visual cues or are used interactively to filter out parts of a graph while querying it, for instance. Over the years, analysts from different application domains have designed metrics to serve specific needs. Network science is an inherently cross-disciplinary field, which leads to the publication of metrics with similar goals; different names and descriptions of their analytics often mask the similarity between two metrics that originated in different fields. Here, we study a set of graph metrics and compare their relative values and behaviors in an effort to survey their potential contributions to the spatial analysis of networks.
Mots-clé
Computer Imaging, Vision, Pattern Recognition and Graphics, Human Geography, Methodology of the Social Sciences, Quantitative Geography
Création de la notice
26/11/2013 21:13
Dernière modification de la notice
20/08/2019 12:59
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