Centrality measures in spatial networks of urban streets
- PMID: 16605616
- DOI: 10.1103/PhysRevE.73.036125
Centrality measures in spatial networks of urban streets
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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