Centrality measures in spatial networks of urban streets

Porta, S. and Crucitti, P. and Latora, V. (2006) Centrality measures in spatial networks of urban streets. Physical Review E: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 73 (3, par). 036125-1. ISSN 1063-651X

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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.