Discovering Important Nodes Through Graph Entropy Encoded in Urban Space Syntax
Physics and Society
2007-09-28 v1 Computational Physics
Abstract
Potentially influential spaces in the spatial networks of cities can be detected by means of the entropy participation ratios. Local (connectivity) and global (centrality) entropies are considered. While the connectivity entropy has a tendency to increase with the city size, the centrality entropy is decreasing that reflects the global connectedness of cities. In urban networks, the local and global properties of nodes are positively correlated that indicates the intelligibility of cities. Correlations between entropy participation ratios can be used in purpose of intelligibility measurements and city networks comparisons.
Cite
@article{arxiv.0709.4415,
title = {Discovering Important Nodes Through Graph Entropy Encoded in Urban Space Syntax},
author = {D. Volchenkov and Ph. Blanchard},
journal= {arXiv preprint arXiv:0709.4415},
year = {2007}
}
Comments
16 pages, 6 *.eps figures, 1 table