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Potentially influential spaces in the spatial networks of cities can bedetected by means of the entropy participation ratios. Local (connectivity) andglobal (centrality) entropies are considered. While the connectivity entropyhas a tendency to increase with the city size, the centrality entropy isdecreasing that reflects the global connectedness of cities. In urban networks,the local and global properties of nodes are positively correlated thatindicates the intelligibility of cities. Correlations between entropyparticipation ratios can be used in purpose of intelligibility measurements andcity networks comparisons.

Discovering Important Nodes Through Graph Entropy Encoded in Urban Space Syntax