Please use this identifier to cite or link to this item:
Title: Comparing spatial networks: A one-size-fits-all efficiency-driven approach
Author: Morer, Ignacio
Cardillo, Alessio
Díaz Guilera, Albert
Prignano, Luce
Lozano, Sergi
Keywords: Eficiència industrial
Eficàcia organitzativa
Dades geoespacials
Biologia espacial
Industrial efficiency
Organizational effectiveness
Geospatial data
Space biology
Issue Date: 3-Apr-2020
Publisher: American Physical Society
Abstract: Spatial networks are a powerful framework for studying a large variety of systems belonging to a broad diversity of contexts: from transportation to biology, from epidemiology to communications, and migrations, to cite a few. Spatial networks can be described in terms of their total cost (i.e., the total amount of resources needed for building or traveling their connections). Here, we address the issue of how to gauge and compare the quality of spatial network designs (i.e., efficiency vs. total cost) by proposing a two-step methodology. First, we assess the network's design by introducing a quality function based on the concept of network's efficiency. Second, we propose an algorithm to estimate computationally the upper bound of our quality function for a given network. Complementarily, we provide a universal expression to obtain an approximated upper bound to any spatial network, regardless of its size. Smaller differences between the upper bound and the empirical value correspond to better designs. Finally, we test the applicability of this analytic tool set on spatial network data-sets of different nature.
Note: Reproducció del document publicat a:
It is part of: Physical Review E, 2020, vol. 101, num. 4, p. 042301-042312
Related resource:
ISSN: 1539-3755
Appears in Collections:Articles publicats en revistes (Història Econòmica, Institucions, Política i Economia Mundial)

Files in This Item:
File Description SizeFormat 
700581.pdf881.64 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.