Shotgun threshold for sparse Erd\H{o}s-R\'enyi graphs
Jian Ding, Yiyang Jiang, Heng Ma

TL;DR
This paper determines the precise threshold depth for reconstructing Erdős-Rényi graphs from local neighborhood profiles, improving previous bounds and resolving an open question.
Contribution
It establishes the exact shotgun assembly threshold for Erdős-Rényi graphs, refining earlier results and providing a sharper constant factor.
Findings
Derived the shotgun assembly threshold r* for Erdős-Rényi graphs.
Improved the constant factor in the threshold compared to previous work.
Solved an open problem from Mossel and Ross (2019).
Abstract
In the shotgun assembly problem for a graph, we are given the empirical profile for rooted neighborhoods of depth (up to isomorphism) for some and we wish to recover the underlying graph up to isomorphism. When the underlying graph is an Erd\H{o}s-R\'enyi , we show that the shotgun assembly threshold where is the probability for two independent Poisson-Galton-Watson trees with parameter to be rooted isomorphic with each other. Our result sharpens a constant factor in a previous work by Mossel and Ross (2019) and thus solves a question therein.
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Stochastic processes and statistical mechanics · Limits and Structures in Graph Theory
