A Model to Visualize Information in a Complex Streets’ Network

  • Taras AgryzkovEmail author
  • José L. Oliver
  • Leandro Tortosa
  • José F. Vicent
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 217)


This 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.


Commercial Activity Primal Graph Short Path Tree Urban Network PageRank Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Taras Agryzkov
    • 1
    Email author
  • José L. Oliver
    • 2
  • Leandro Tortosa
    • 1
  • José F. Vicent
    • 1
  1. 1.Departamento de Ciencia de la Computación e Inteligencia ArtificialUniversidad de AlicanteAlicanteSpain
  2. 2.Departamento de Expresión Grafica y CartografiaUniversidad de AlicanteAlicanteSpain

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