DSpace Comunidad:http://hdl.handle.net/10045/432482019-02-21T19:09:17Z2019-02-21T19:09:17ZA variant of the current flow betweenness centrality and its application in urban networksAgryzkov, TarasTortosa, LeandroVicent, Jose F.http://hdl.handle.net/10045/871502019-01-31T01:05:44Z2019-04-15T00:00:00ZTítulo: A variant of the current flow betweenness centrality and its application in urban networks
Autor/es: Agryzkov, Taras; Tortosa, Leandro; Vicent, Jose F.
Resumen: 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.2019-04-15T00:00:00ZLa factoría del Aluminio Ibérico: maquinaria de la metrópoliMartínez-Medina, AndrésOliva Meyer, JustoOliver, Jose-Luishttp://hdl.handle.net/10045/857272019-01-11T01:03:25Z2012-01-31T00:00:00ZTítulo: La factoría del Aluminio Ibérico: maquinaria de la metrópoli
Autor/es: Martínez-Medina, Andrés; Oliva Meyer, Justo; Oliver, Jose-Luis
Resumen: En 1952 Julio Cano Lasso proyecta un complejo industrial (Factoría de Aluminio) para la ciudad de Alicante, a las afueras. El proyecto es redefinido por el arquitecto Miguel López González en 1953-54 introduciendo cambios sustanciales y el poblado obrero compacto se transforma en una colonia-jardín (que no se ejecutará). Sin embargo, las naves industriales (con estructuras de grandes luces ejecutadas con pórticos de hormigón armado y lucernarios, mediante grandes módulos múltiplos de 5m, desde 10 hasta 25m) rinden cuenta de los cambios de escala que se están produciendo en la arquitectura, en la ciudad y en el país. La gran factoría del Aluminio se convierte en una pieza más de la 'gran ciudad' en la que se impone la revisión del planeamiento con la ley del Suelo de 1956 que asienta los principios del urbanismo funcionalista del zoning. Estas fábricas emplazadas en las periferias, desprovistas de protagonismo urbano, son un engranaje más de las metrópolis que comienzan a configurarse.2012-01-31T00:00:00ZCombining the Two-Layers PageRank Approach with the APA Centrality in Networks with DataAgryzkov, TarasPedroche, FranciscoTortosa, LeandroVicent, Jose F.http://hdl.handle.net/10045/854312019-01-04T01:03:02Z2018-12-16T00:00:00ZTítulo: Combining the Two-Layers PageRank Approach with the APA Centrality in Networks with Data
Autor/es: Agryzkov, Taras; Pedroche, Francisco; Tortosa, Leandro; Vicent, Jose F.
Resumen: Identifying the influential nodes in complex networks is a fundamental and practical topic at the moment. In this paper, a new centrality measure for complex networks is proposed based on two contrasting models that have their common origin in the well-known PageRank centrality. On the one hand, the essence of the model proposed is taken from the Adapted PageRank Algorithm (APA) centrality, whose main characteristic is that constitutes a measure to establish a ranking of nodes considering the importance of some dataset associated to the network. On the other hand, a technique known as two-layers PageRank approach is applied to this model. This technique focuses on the idea that the PageRank centrality can be understood as a two-layer network, the topological and teleportation layers, respectively. The main point of the proposed centrality is that it combines the APA centrality with the idea of two-layers; however, the difference now is that the teleportation layer is replaced by a layer that collects the data present in the network. This combination gives rise to a new algorithm for ranking the nodes according to their importance. Subsequently, the coherence of the new measure is demonstrated by calculating the correlation and the quantitative differences of both centralities (APA and the new centrality). A detailed study of the differences of both centralities, taking different types of networks, is performed. A real urban network with data randomly generated is evaluated as well as the well-known Zachary’s karate club network. Some numerical results are carried out by varying the values of the α parameter—known as dumping factor in PageRank model—that varies the importance given to the two layers (topology and data) within the computation of the new centrality. The proposed algorithm takes the best characteristics of the models on which it is based: on the one hand, it is a measure of centrality, in complex networks with data, whose calculation is stable numerically and, on the other hand, it is able to separate the topological properties of the network and the influence of the data.2018-12-16T00:00:00ZAn algorithm to compute data diversity index in spatial networksAgryzkov, TarasTortosa, LeandroVicent, Jose F.http://hdl.handle.net/10045/762162018-06-06T00:04:35Z2018-11-15T00:00:00ZTítulo: An algorithm to compute data diversity index in spatial networks
Autor/es: Agryzkov, Taras; Tortosa, Leandro; Vicent, Jose F.
Resumen: Diversity is an important measure that according to the context, can describe different concepts of general interest: competition, evolutionary process, immigration, emigration and production among others. It has been extensively studied in different areas, as ecology, political science, economy, sociology and others. The quality of spatial context of the city can be gauged through this measure. The spatial context with its corresponding dataset can be modelled using spatial networks. Consequently, this allows us to study the diversity of data present in this specific type of networks. In this paper we propose an algorithm to measure diversity in spatial networks based on the topology and the data associated to the network. In the experiments developed with networks of different sizes, it is observed that the proposed index is independent of the size of the network, but depends on its topology.2018-11-15T00:00:00Z