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Shotgun Assembly of Erdos-Renyi Random Graphs

Probability 2022-01-14 v3

Abstract

Graph shotgun assembly refers to the problem of reconstructing a graph from a collection of local neighborhoods. In this paper, we consider shotgun assembly of \ER random graphs G(n,pn)G(n, p_n), where pn=nαp_n = n^{-\alpha} for 0<α<10 < \alpha < 1. We consider both reconstruction up to isomorphism as well as exact reconstruction (recovering the vertex labels as well as the structure). We show that given the collection of distance-11 neighborhoods, GG is exactly reconstructable for 0<α<130 < \alpha < \frac{1}{3}, but not reconstructable for 12<α<1\frac{1}{2} < \alpha < 1. Given the collection of distance-22 neighborhoods, GG is exactly reconstructable for α(0,12)(12,35)\alpha \in \left(0, \frac{1}{2}\right) \cup \left(\frac{1}{2}, \frac{3}{5}\right), but not reconstructable for 34<α<1\frac{3}{4} < \alpha < 1.

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Cite

@article{arxiv.2010.14661,
  title  = {Shotgun Assembly of Erdos-Renyi Random Graphs},
  author = {Julia Gaudio and Elchanan Mossel},
  journal= {arXiv preprint arXiv:2010.14661},
  year   = {2022}
}

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13 pages