Let a random geometric graph be defined in the supercritical regime for the existence of a unique infinite connected component in Euclidean space. Consider the first-passage percolation model with independent and identically distributed random variables on the random infinite connected component. We provide sufficient conditions for the existence of the asymptotic shape and we show that the shape is an Euclidean ball. We give some examples exhibiting the result for Bernoulli percolation and the Richardson model. For the Richardson model we further show that it converges weakly to a branching process in the joint limit of large intensities and slow passing times
We introduce Riemannian First-Passage Percolation (Riemannian FPP) as a new model of random differen...
AbstractWe study directed last-passage percolation on the planar square lattice whose weights have g...
We study the behavior of the random walk in a continuum independent long-range percolation model, in...
Let a random geometric graph be defined in the supercritical regime for the existence of a unique in...
The aim of this paper is to extend the well-known asymptotic shape result for first-passage percolat...
Abstract. The aim of this paper is to extend the well-known asymptotic shape result for first-passag...
Given $\lambda > 0$, $p\in [0,1]$ and a Poisson Point Process $\mathrm{Po}(\lambda)$ in $\mathbb R^2...
Random Geometric graphs have traditionally been considered on the nodes of a Poisson process, but re...
International audienceWe exploit a connection between distances in the infinite percolation cluster,...
Consider a bipartite random geometric graph on the union of two indepen-dent homogeneous Poisson poi...
This thesis deals with limits of large random planar maps with a boundary. First, we are interested ...
Cette thèse porte sur des limites de grandes cartes à bord aléatoires. Dans un premier temps, nous n...
In this thesis, we study the geometry of two random graph models. In the first chapter, we deal with...
We consider first-passage percolation on $\mathbb Z^2$ with independent and identically distributed ...
International audienceWe study the geometry of infinite random Boltzmann planar maps having weight o...
We introduce Riemannian First-Passage Percolation (Riemannian FPP) as a new model of random differen...
AbstractWe study directed last-passage percolation on the planar square lattice whose weights have g...
We study the behavior of the random walk in a continuum independent long-range percolation model, in...
Let a random geometric graph be defined in the supercritical regime for the existence of a unique in...
The aim of this paper is to extend the well-known asymptotic shape result for first-passage percolat...
Abstract. The aim of this paper is to extend the well-known asymptotic shape result for first-passag...
Given $\lambda > 0$, $p\in [0,1]$ and a Poisson Point Process $\mathrm{Po}(\lambda)$ in $\mathbb R^2...
Random Geometric graphs have traditionally been considered on the nodes of a Poisson process, but re...
International audienceWe exploit a connection between distances in the infinite percolation cluster,...
Consider a bipartite random geometric graph on the union of two indepen-dent homogeneous Poisson poi...
This thesis deals with limits of large random planar maps with a boundary. First, we are interested ...
Cette thèse porte sur des limites de grandes cartes à bord aléatoires. Dans un premier temps, nous n...
In this thesis, we study the geometry of two random graph models. In the first chapter, we deal with...
We consider first-passage percolation on $\mathbb Z^2$ with independent and identically distributed ...
International audienceWe study the geometry of infinite random Boltzmann planar maps having weight o...
We introduce Riemannian First-Passage Percolation (Riemannian FPP) as a new model of random differen...
AbstractWe study directed last-passage percolation on the planar square lattice whose weights have g...
We study the behavior of the random walk in a continuum independent long-range percolation model, in...