International audienceA random geometric irrigation graph $\Gamma_n(r_n,\xi)$ has $n$ vertices identified by $n$ independent uniformly distributed points $X_1,\ldots,X_n$ in the unit square $[0,1]^2$. Each point $X_i$ selects $\xi_i$ neighbors at random, without replacement, among those points $X_j$ ($j\neq i$) for which $\|X_i-X_j\| 1$. We prove that when $r_n = \gamma_n \sqrt{\log n/n}$ for $\gamma_n \to \infty$ with $\gamma_n =o(n^{1/6}/\log^{5/6}n)$, then the random geometric irrigation graph experiences explosive percolation in the sense that when $\mathbf E \xi_i=1$, then the largest connected component has size $o(n)$ but if $\mathbf E \xi_i >1$, then the size of the largest connected component is with high probability $n-o(n)$. This...
Real-world networks, like social networks or the internet infrastructure, have structural properties...
In this paper we study the treewidth of the random geometric graph, obtained by dropping n points on...
Many machine learning algorithms used for dimensional reduction and manifold learning leverage on th...
International audienceA random geometric irrigation graph $\Gamma_n(r_n,\xi)$ has $n$ vertices ident...
The random geometric graph is obtained by sampling n points from the unit square (uniformly at rando...
Abstract. We consider graphs obtained by placing n points at random on a unit sphere in Rd, and conn...
A random geometric graph G (n, r) is obtained by spreading n points uniformly at random in a unit sq...
A random geometric graph G(n, r) is obtained by spreading n points uni-formly at random in a unit sq...
AbstractA random geometric graph G(n,r) is obtained by spreading n points uniformly at random in a u...
Abstract. A random geometric graph G(n; r) is obtained by spreading n points uniformly at random in ...
International audienceSuppose that there is a family of n random points X_v for v ∈ V , independentl...
Random geometric graphs result from taking n uniformly distributed points in the unit cube, [0, 1] ...
Random geometric graphs result from taking n uniformly distributed points in the unit cube, [0, 1] d...
In this paper we study weighted distances in scale-free spatial network models: hyperbolic random gr...
Abstract. Consider a random geometric graph G(χn, rn), given by connecting two vertices of a Poisson...
Real-world networks, like social networks or the internet infrastructure, have structural properties...
In this paper we study the treewidth of the random geometric graph, obtained by dropping n points on...
Many machine learning algorithms used for dimensional reduction and manifold learning leverage on th...
International audienceA random geometric irrigation graph $\Gamma_n(r_n,\xi)$ has $n$ vertices ident...
The random geometric graph is obtained by sampling n points from the unit square (uniformly at rando...
Abstract. We consider graphs obtained by placing n points at random on a unit sphere in Rd, and conn...
A random geometric graph G (n, r) is obtained by spreading n points uniformly at random in a unit sq...
A random geometric graph G(n, r) is obtained by spreading n points uni-formly at random in a unit sq...
AbstractA random geometric graph G(n,r) is obtained by spreading n points uniformly at random in a u...
Abstract. A random geometric graph G(n; r) is obtained by spreading n points uniformly at random in ...
International audienceSuppose that there is a family of n random points X_v for v ∈ V , independentl...
Random geometric graphs result from taking n uniformly distributed points in the unit cube, [0, 1] ...
Random geometric graphs result from taking n uniformly distributed points in the unit cube, [0, 1] d...
In this paper we study weighted distances in scale-free spatial network models: hyperbolic random gr...
Abstract. Consider a random geometric graph G(χn, rn), given by connecting two vertices of a Poisson...
Real-world networks, like social networks or the internet infrastructure, have structural properties...
In this paper we study the treewidth of the random geometric graph, obtained by dropping n points on...
Many machine learning algorithms used for dimensional reduction and manifold learning leverage on th...