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ABSTRACT
We consider a simple Markov chain for d-regular graphs on n vertices, and show that the mixing time of this Markov chain is bounded above by a polynomial in n and d. A related Markov chain for d-regular graphs on a varying number of vertices is introduced, for even degree d. We use this to model a certain peer-to-peer network structure. We prove that the related chain has mixing time which is bounded by a polynomial in N, the expected number of vertices, under reasonable assumptions about the arrival and departure process.
REFERENCES
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CITED BY 9
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Daniel Stutzbach , Reza Rejaie , Nick Duffield , Subhabrata Sen , Walter Willinger, On unbiased sampling for unstructured peer-to-peer networks, Proceedings of the 6th ACM SIGCOMM on Internet measurement, October 25-27, 2006, Rio de Janeriro, Brazil
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