Open Access
2018 Respondent-Driven Sampling and Sparse Graph Convergence
Siva Athreya, Adrian Röllin
Electron. Commun. Probab. 23: 1-12 (2018). DOI: 10.1214/17-ECP103

Abstract

We consider a particular respondent-driven sampling procedure governed by a graphon. Using a specific clumping procedure of the sampled vertices, we construct a sequence of sparse graphs. If the sequence of the vertex-sets is stationary, then the sequence of sparse graphs converges to the governing graphon in the cut-metric. The tools used are a concentration inequality for Markov chains and the Stein-Chen method.

Citation

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Siva Athreya. Adrian Röllin. "Respondent-Driven Sampling and Sparse Graph Convergence." Electron. Commun. Probab. 23 1 - 12, 2018. https://doi.org/10.1214/17-ECP103

Information

Received: 9 May 2017; Accepted: 4 December 2017; Published: 2018
First available in Project Euclid: 3 February 2018

zbMATH: 1392.05097
MathSciNet: MR3761563
Digital Object Identifier: 10.1214/17-ECP103

Subjects:
Primary: 05C80
Secondary: 37A30

Keywords: dense graph limits , random graph , Respondent-driven sampling , sparse-graph limits

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