@MISC{Aldous_scale-invariantrandom, author = {David J. Aldous}, title = {Scale-invariant random spatial networks}, year = {} }

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Abstract

Real-world road networks have an approximate scale-invariance property; can one devise mathematical models of random networks whosedistributionsareexactlyinvariantunderEuclideanscaling? This requires working in the continuum plane. We introduce an axiomatization of a class of processes we call scale-invariant random spatial networks, whose primitives are routes between each pair of points in the plane. We prove that one concrete model, based on minimumtime routes in a binary hierarchy of roads with different speed limits, satisfies the axioms, and note informally that two other constructions (based on Poisson line processes and on dynamic proximity graphs) are expected also to satisfy the axioms. We initiate study of structure theory and summary statistics for general processes in this class.