Analysis and comparison of centrality measures applied to urban networks with data
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http://hdl.handle.net/10045/106860
Title: | Analysis and comparison of centrality measures applied to urban networks with data |
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Authors: | Curado, Manuel | Tortosa, Leandro | Vicent, Jose F. | Yeghikyan, Gevorg |
Research Group/s: | Análisis y Visualización de Datos en Redes (ANVIDA) |
Center, Department or Service: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Keywords: | Centrality measures | Urban networks | Vertex importance | Eigenvector centrality |
Knowledge Area: | Ciencia de la Computación e Inteligencia Artificial |
Issue Date: | May-2020 |
Publisher: | Elsevier |
Citation: | Journal of Computational Science. 2020, 43: 101127. doi:10.1016/j.jocs.2020.101127 |
Abstract: | For a considerable time, researchers have focused on defining different measures capable to characterizing the importance of vertices in networks. One type of these networks, the cities, are complex systems that generate large quantity of information. These data are an important part of the characteristics of the urban network itself. Because of this, it is crucial to have a classification system, for the vertices of a network, considering the data we can find in the city itself. To address this question, this paper studies and compares several measures of centrality specifically applied to urban networks. These centralities are based on the calculation of the eigenvectors of a matrix and are very suitable for urban networks with data. With the aim of expanding the range covered by these measures, a new centrality measure is presented. Finally we compare three centralities by means of a real network and real data on the city of Rome (Italy). |
URI: | http://hdl.handle.net/10045/106860 |
ISSN: | 1877-7503 (Print) | 1877-7511 (Online) |
DOI: | 10.1016/j.jocs.2020.101127 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2020 Elsevier B.V. |
Peer Review: | si |
Publisher version: | https://doi.org/10.1016/j.jocs.2020.101127 |
Appears in Collections: | INV - ANVIDA - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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Curado_etal_2020_JComputationalSci_final.pdf | Versión final (acceso restringido) | 1,96 MB | Adobe PDF | Open Request a copy |
Curado_etal_2020_JComputationalSci_accepted.pdf | Accepted Manuscript (acceso abierto) | 4,6 MB | Adobe PDF | Open Preview |
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