REVIEW 2 cited by
The mixing time of the switch Markov chains: a unified approach
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
abstract
Since 1997 a considerable effort has been spent to study the mixing time of switch Markov chains on the realizations of graphic degree sequences of simple graphs. Several results were proved on rapidly mixing Markov chains on unconstrained, bipartite, and directed sequences, using different mechanisms. The aim of this paper is to unify these approaches. We will illustrate the strength of the unified method by showing that on any $P$-stable family of unconstrained/bipartite/directed degree sequences the switch Markov chain is rapidly mixing. This is a common generalization of every known result that shows the rapid mixing nature of the switch Markov chain on a region of degree sequences. Two applications of this general result will be presented. One is an almost uniform sampler for power-law degree sequences with exponent $\gamma>1+\sqrt{3}$. The other one shows that the switch Markov chain on the degree sequence of an Erd\H{o}s-R\'enyi random graph $G(n,p)$ is asymptotically almost surely rapidly mixing if $p$ is bounded away from 0 and 1 by at least $\frac{5\log n}{n-1}$.
Forward citations
Cited by 2 Pith papers
-
Half-graphs, other non-stable degree sequences, and the switch Markov chain
The switch Markov chain mixes in polynomial time on constant-radius L1-neighborhoods of half-graph degree sequences, which are not P-stable.
-
Efficient Sampling of Temporal Networks with Preserved Causality Structure
A new algorithm, t-NeSt, samples random temporal networks that preserve the time-respecting (causal) neighborhood structure up to a chosen depth d, with theoretical guarantees for temporal Katz centrality.
Discussion (0). Continue with ORCID to comment.