Centrality measures in spatial networks of urban streets.

@article{Crucitti2006CentralityMI,
  title={Centrality measures in spatial networks of urban streets.},
  author={Paolo Crucitti and Vito Latora and Sergio Porta},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2006},
  volume={73 3 Pt 2},
  pages={
          036125
        }
}
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… 

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References

SHOWING 1-10 OF 37 REFERENCES
Topological Analysis of Urban Street Networks
TLDR
It is shown that large urban street networks form small-world networks but exhibit no scale-free property.
Networks and cities: an information perspective.
TLDR
The road map of cities is replot in terms of the information needed to locate specific addresses and information city networks with roads mapped to nodes and intersections to links between nodes are created.
The Structure and Function of Complex Networks
TLDR
Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
Space is the machine: A configurational theory of architecture
TLDR
The aim of this book is to assemble some of this work on configurational ideas in bringing to light the spatial logic of buildings and cities and show how it leads the way to a new type of theory of architecture: ananalytic theory in which understanding and design advance together.
Statistical mechanics of complex networks
TLDR
A simple model based on these two principles was able to reproduce the power-law degree distribution of real networks, indicating a heterogeneous topology in which the majority of the nodes have a small degree, but there is a significant fraction of highly connected nodes that play an important role in the connectivity of the network.
Efficiency and robustness in ant networks of galleries
TLDR
It is shown that the networks of galleries have a path system efficiency and robustness to disconnections closer to the one observed in triangulated networks though their cost is closer tothe one of a tree.
Efficiency of informational transfer in regular and complex networks.
TLDR
This work examines the properties of underground transportation systems of Madrid and Barcelona and reinterpret the results obtained for the Boston subway network to study nonclustered systems.
Classes of small-world networks.
TLDR
Evidence of the occurrence of three classes of small-world networks, characterized by a vertex connectivity distribution that decays as a power law law, and the nature of such constraints may be the controlling factor for the emergence of different classes of networks are presented.
The Social Logic of Space
Preface Introduction 1. The problem of space 2. The logic of space 3. The analysis of settlement layouts 4. Bindings and their genotypes 5. The elementary building and its transformations 6. the
...
...