A Model to Visualize Information in a Complex Streets’ Network


Autoria(s): Agryzkov, Taras; Oliver, Jose L.; Tortosa Grau, Leandro; Vicent, Jose F.
Contribuinte(s)

Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial

Universidad de Alicante. Departamento de Expresión Gráfica y Cartografía

Análisis y Visualización de Datos en Redes (ANVIDA)

Data(s)

28/01/2015

28/01/2015

2013

Resumo

his paper discusses a process to graphically view and analyze information obtained from a network of urban streets, using an algorithm that establishes a ranking of importance of the nodes of the network itself. The basis of this process is to quantify the network information obtained by assigning numerical values to each node, representing numerically the information. These values are used to construct a data matrix that allows us to apply a classification algorithm of nodes in a network in order of importance. From this numerical ranking of the nodes, the process finish with the graphical visualization of the network. An example is shown to illustrate the whole process.

This work was partially supported by University of Alicante grants GRE09-02 and GRE10-34 and Generalitat Valenciana grant GV/2011/01.

Identificador

Taras Agryzkov, José L. Oliver, Leandro Tortosa, José F. Vicent. "A Model to Visualize Information in a Complex Streets’ Network". En: Distributed Computing and Artificial Intelligence: 10th International Conference / Sigeru Omatu [et al.] (eds.). Cham, etc. : Springer International, 2013. (Advances in Intelligent Systems and Computing; 217). ISBN 978-3-319-00550-8, pp. 129-136

978-3-319-00550-8

2194-5357

http://hdl.handle.net/10045/44389

10.1007/978-3-319-00551-5_16

Idioma(s)

eng

Publicador

Springer International

Relação

http://dx.doi.org/10.1007/978-3-319-00551-5_16

Direitos

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-00551-5_16

info:eu-repo/semantics/restrictedAccess

Palavras-Chave #Graphically view #Analyze information #Network of urban streets #Ranking of importance of the nodes #Ciencia de la Computación e Inteligencia Artificial #Composición Arquitectónica
Tipo

info:eu-repo/semantics/conferenceObject