Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment

Author:

Cullina Daniel1,Kiyavash Negar2,Mittal Prateek3,Poor H. Vincent3

Affiliation:

1. Department of Electrical Engineering, Pennsylvania State University, State College, PA, USA

2. École Polytechnique Fédérale de Lausanne, Switzerland

3. Princeton University, Princeton, NJ, USA

Abstract

We determine information theoretic conditions under which it is possible to partially recover the alignment used to generate a pair of sparse, correlated Erdős-Rényi graphs. To prove our achievability result, we introduce the k-core alignment estimator. This estimator searches for an alignment in which the intersection of the correlated graphs using this alignment has a minimum degree of k. We prove a matching converse bound. As the number of vertices grows, recovery of the alignment for a fraction of the vertices tending to one is possible when the average degree of the intersection of the graph pair tends to infinity. It was previously known that exact alignment is possible when this average degree grows faster than the logarithm of the number of vertices.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference3 articles.

1. D. Cullina and N. Kiyavash "Exact alignment recovery for correlated Erd's Rényi graphs " arXiv:1711.06783 [cs math] Nov. 2017 arXiv: 1711.06783. [Online]. Available: http://arxiv.org/abs/1711.06783 D. Cullina and N. Kiyavash "Exact alignment recovery for correlated Erd's Rényi graphs " arXiv:1711.06783 [cs math] Nov. 2017 arXiv: 1711.06783. [Online]. Available: http://arxiv.org/abs/1711.06783

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