Curvature

RE Rena Elkin
JO Jung Hun Oh
YL Ying L. Liu
PS Pier Selenica
BW Britta Weigelt
JR Jorge S. Reis-Filho
DZ Dmitriy Zamarin
JD Joseph O. Deasy
LN Larry Norton
AL Arnold J. Levine
AT Allen R. Tannenbaum
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The interplay between OR curvature, network entropy, and functional robustness is linked by OMT and is rich in theory. We outline this now, beginning with the OR curvature6.

Based on the work of von Renesse and Sturm16, Ollivier extended the notion of Ricci curvature, defined on a Riemannian manifold, to discrete metric measure spaces6. Specifically, let X be a metric measure space equipped with a distance d such that for each xX, one is given a probability measure μx. The probability measure μx can be thought of as fuzzifying or blurring the point x. For two points x,yX, OR curvature is defined as

where W1 is the Wasserstein distance.

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