Structural Analysis of Networks

Details

Serval ID
serval:BIB_227EEEC9D87B
Type
A part of a book
Collection
Publications
Institution
Title
Structural Analysis of Networks
Title of the book
Methods for Multilevel Analysis and Visualisation of Geographical Networks
Author(s)
Melançon G., Rozenblat C.
Publisher
Springer
Address of publication
Dordrecht
ISBN
978-94-007-6676-1 (hardback)
978-94-007-6677-8 (paperback)
Publication state
Published
Issued date
2013
Editor
Rozenblat C., Melançon G.
Series
Methodos Series
Pages
69-80
Language
english
Notes
melancon_structural_2013
Abstract
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.
Keywords
Computer Imaging, Vision, Pattern Recognition and Graphics, Human Geography, Methodology of the Social Sciences, Quantitative Geography
Create date
26/11/2013 21:13
Last modification date
20/08/2019 12:59
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