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. 2006 Mar;73(3 Pt 2):036125.
doi: 10.1103/PhysRevE.73.036125. Epub 2006 Mar 24.

Centrality measures in spatial networks of urban streets

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Centrality measures in spatial networks of urban streets

Paolo Crucitti et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Mar.

Abstract

We study centrality in urban street patterns of different world cities represented as networks in geographical space. The results indicate that a spatial analysis based on a set of four centrality indices allows an extended visualization and characterization of the city structure. A hierarchical clustering analysis based on the distributions of centrality has a certain capacity to distinguish different classes of cities. In particular, self-organized cities exhibit scale-free properties similar to those found in nonspatial networks, while planned cities do not.

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