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Comparing spatial networks: A one-size-fits-all efficiency-driven approach

  • Datos identificativos

    Identificador: imarina:6230105
  • Autores:

    Morer, Ignacio
    Cardillo, Alessio
    Diaz-Guilera, Albert
    Prignano, Luce
    Lozano, Sergi
  • Otros:

    Autor según el artículo: Morer, Ignacio; Cardillo, Alessio; Diaz-Guilera, Albert; Prignano, Luce; Lozano, Sergi;
    Departamento: Enginyeria Informàtica i Matemàtiques Història i Història de l'Art
    Autor/es de la URV: Cardillo, Alessio Vincenzo / Lozano Pérez, Sergio
    Palabras clave: Mobility
    Resumen: 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.
    Áreas temáticas: Zootecnia / recursos pesqueiros Statistics and probability Statistical and nonlinear physics Saúde coletiva Química Physics, mathematical Physics, fluids & plasmas Odontología Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Geociências General medicine Farmacia Engenharias iv Engenharias iii Engenharias ii Educação física Educação Economia Condensed matter physics Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Biotecnología Biodiversidade Astronomia / física
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: sergio.lozano@urv.cat
    Identificador del autor: 0000-0003-1895-9327
    Fecha de alta del registro: 2023-02-19
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.042301
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Physical Review e. 101 (4):
    Referencia de l'ítem segons les normes APA: Morer, Ignacio; Cardillo, Alessio; Diaz-Guilera, Albert; Prignano, Luce; Lozano, Sergi; (2020). Comparing spatial networks: A one-size-fits-all efficiency-driven approach. Physical Review e, 101(4), -. DOI: 10.1103/PhysRevE.101.042301
    DOI del artículo: 10.1103/PhysRevE.101.042301
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2020
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Condensed Matter Physics,Physics, Fluids & Plasmas,Physics, Mathematical,Statistical and Nonlinear Physics,Statistics and Probability
    Mobility
    Zootecnia / recursos pesqueiros
    Statistics and probability
    Statistical and nonlinear physics
    Saúde coletiva
    Química
    Physics, mathematical
    Physics, fluids & plasmas
    Odontología
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Geociências
    General medicine
    Farmacia
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Educação física
    Educação
    Economia
    Condensed matter physics
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência da computação
    Biotecnología
    Biodiversidade
    Astronomia / física
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