Shotgun assembly of Erdős-Rényi random graphs
Author(s)
Gaudio, Julia; Mossel, Elchanan
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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 $G(n, p_n)$, where $p_n = n^{-\alpha}$ for $0 < \alpha <
1$. 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-$1$ neighborhoods, $G$ is exactly
reconstructable for $0 < \alpha < \frac{1}{3}$, but not reconstructable for
$\frac{1}{2} < \alpha < 1$. Given the collection of distance-$2$ neighborhoods,
$G$ is exactly reconstructable for $\alpha \in \left(0, \frac{1}{2}\right) \cup
\left(\frac{1}{2}, \frac{3}{5}\right)$, but not reconstructable for
$\frac{3}{4} < \alpha < 1$.
Date issued
2022Department
Massachusetts Institute of Technology. Department of MathematicsJournal
Electronic Communications in Probability
Publisher
Institute of Mathematical Statistics
Citation
Gaudio, Julia and Mossel, Elchanan. 2022. "Shotgun assembly of Erdős-Rényi random graphs." Electronic Communications in Probability, 27 (none).
Version: Final published version