A new betweenness centrality measure based on an algorithm for ranking the nodes of a network
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http://hdl.handle.net/10045/44390
Títol: | A new betweenness centrality measure based on an algorithm for ranking the nodes of a network |
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Autors: | Agryzkov, Taras | Oliver, Jose-Luis | Tortosa, Leandro | Vicent, Jose F. |
Grups d'investigació o GITE: | Análisis y Visualización de Datos en Redes (ANVIDA) |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Paraules clau: | Street network algorithms | PageRank algorithms | Centrality measures | Betweenness | Random-walk betweenness | Eigenvector centrality |
Àrees de coneixement: | Ciencia de la Computación e Inteligencia Artificial |
Data de publicació: | 1-d’octubre-2014 |
Editor: | Elsevier |
Citació bibliogràfica: | Applied Mathematics and Computation. 2014, 244: 467-478. doi:10.1016/j.amc.2014.07.026 |
Resum: | We propose and discuss a new centrality index for urban street patterns represented as networks in geographical space. This centrality measure, that we call ranking-betweenness centrality, combines the idea behind the random-walk betweenness centrality measure and the idea of ranking the nodes of a network produced by an adapted PageRank algorithm. We initially use a PageRank algorithm in which we are able to transform some information of the network that we want to analyze into numerical values. Numerical values summarizing the information are associated to each of the nodes by means of a data matrix. After running the adapted PageRank algorithm, a ranking of the nodes is obtained, according to their importance in the network. This classification is the starting point for applying an algorithm based on the random-walk betweenness centrality. A detailed example of a real urban street network is discussed in order to understand the process to evaluate the ranking-betweenness centrality proposed, performing some comparisons with other classical centrality measures. |
Patrocinadors: | This work was partially supported by Generalitat Valenciana Grant GV2012-111. |
URI: | http://hdl.handle.net/10045/44390 |
ISSN: | 0096-3003 (Print) | 1873-5649 (Online) |
DOI: | 10.1016/j.amc.2014.07.026 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.1016/j.amc.2014.07.026 |
Apareix a la col·lecció: | INV - ANVIDA - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2014_Agryzkov_etal_AMC_final.pdf | Versión final (acceso restringido) | 1,7 MB | Adobe PDF | Obrir Sol·licitar una còpia |
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