Centrality measures in spatial networks of urban streets

S. Porta, P. Crucitti, V. Latora

Research output: Contribution to journalArticlepeer-review

489 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)036125-1
Number of pages36124
JournalPhysical Review E: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
Issue number3, part 2
Publication statusPublished - 24 Mar 2006


  • spatial networks
  • urban


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