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Randomly Twisted Hypercubes: Between Structure and Randomness

Randomly twisted hypercubes: between structure and randomness
Authors: Benjamini, I.; Dikstein, Y.; Gross, R.; Zhukovskii, M.;

Randomly Twisted Hypercubes: Between Structure and Randomness

Abstract

ABSTRACTTwisted hypercubes are generalizations of the Boolean hypercube, obtained by iteratively connecting two instances of a graph by a uniformly random perfect matching. Dudek et al. showed that when the two instances are independent, these graphs have optimal diameter. We study twisted hypercubes in the setting where the instances can have general dependence, and also in the particular case where they are identical. We show that the resultant graph shares properties with random regular graphs, including small diameter, large vertex expansion, a semicircle law for its eigenvalues and no non‐trivial automorphisms. However, in contrast to random regular graphs, twisted hypercubes allow for short routing schemes.

Country
United Kingdom
Keywords

shortest path, Extremal problems in graph theory, Distance in graphs, vertex expansion, Probability (math.PR), Random graphs (graph-theoretic aspects), semicircle law, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Paths and cycles, random graphs, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid