We introduce an algorithm that constructs a random uniform graph with prescribed degree sequence together with a depth first exploration of it. In the so-called supercritical regime where the graph contains a giant component, we prove that the renormalized contour process of the Depth First Search Tree has a deterministic limiting profile that we identify. The proof goes through a detailed analysis of the evolution of the empirical degree distribution of unexplored vertices. This evolution is driven by an infinite system of differential equations which has a unique and explicit solution. As a byproduct, we deduce the existence of a macroscopic simple path and get a lower bound on its length.Comment: 30 page
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The spectral and localization properties of heterogeneous random graphs are determined by the resolv...
The degree-restricted random process is a natural algorithmic model for generating graphs with degre...
We consider the performance of the Depth First Search (DFS) algorithm on the random graph $G\left(n,...
Depth first search is a natural algorithmic technique for constructing a closed route that visits al...
We present a modification of the Depth first search algorithm, suited for finding long induced paths...
We present an analysis of the depth-first search algorithm in a random digraph model with geometric ...
We study the problem defined by Erd˝os and Szemer�edi in 1975 of constructing sparse depthrobust grap...
We consider the problem of recovering a planted partition such as a coloring, a small bisection, or ...
We study a special case of the configuration model, in which almost all the vertices of the graph ha...
\u3cp\u3eWe prove results for first-passage percolation on the configuration model with degrees havi...
We present an analysis of the depth-first search algorithm in a random digraph model with geometric ...
We analyze the distribution of the distance between two nodes, sampled uniformly at random, in digra...
We study first passage percolation (FPP) on the configuration model (CM) having power-law degrees wi...
We take an algorithmic approach to studying the solution space geometry of relatively sparse random ...
The complexities of various search algorithms are considered in terms of time, space, and cost of so...
The spectral and localization properties of heterogeneous random graphs are determined by the resolv...
The degree-restricted random process is a natural algorithmic model for generating graphs with degre...