A variant of the current flow betweenness centrality and its application in urban networks
Autor: | José-Francisco Vicent, Taras Agryzkov, Leandro Tortosa |
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Přispěvatelé: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial, Análisis y Visualización de Datos en Redes (ANVIDA) |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
Theoretical computer science Urban networks Computer science Applied Mathematics 020206 networking & telecommunications Context (language use) Ciencia de la Computación e Inteligencia Artificial 02 engineering and technology Spatial networks Network topology Measure (mathematics) Computational Mathematics 020901 industrial engineering & automation Betweenness centrality Flow (mathematics) Urban centrality measures 0202 electrical engineering electronic engineering information engineering Random-walk betweenness Intermediation Centrality Drawback Current flow betweenness |
Zdroj: | RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) |
Popis: | The current flow betweenness centrality is a useful tool to estimate traffic status in spatial networks and, in general, to measure the intermediation of nodes in networks where the transition between them takes place in a random way. The main drawback of this centrality is its high computational cost, especially for very large networks, as it is the case of urban networks. In this paper, a new approach to the current flow betweenness centrality for its practical application in urban networks with data is presented and discussed. The new centrality measure allows the estimation of pedestrian flow developed in urban networks, taking into account both the network topology and its associated data. In addition, its computational cost makes it suitable for application in networks with a large number of nodes. Some examples are studied in order to better understand the characteristics and behaviour of the proposed centrality in the context of the city. Partially supported by the Spanish Government, Ministerio de Economía y Competividad, grant number TIN2017-84821-P . |
Databáze: | OpenAIRE |
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