A randomly evolving graph, with vertices immigrating at rate n and each possible edge appearing at rate 1/n, is studied. The detailed picture of emergence of giant components with O(n2/3) vertices is shown to be the same as in the Erdos-Rényi graph process with the number of vertices fixed at n at the start. A major difference is that now the transition occurs about a time t = π/2, rather than t = 1. The proof has three ingredients. The size of the largest component in the subcritical phase is bounded by comparison with a certain multitype branching process. With this bound at hand, the growth of the sum-of-squares and sum-of-cubes of component sizes is shown, via martingale methods, to follow closely a solution of the Smoluchowsky-type equ...
Abstract. We study a point process describing the asymptotic behavior of sizes of the largest compon...
We introduce a very general model of an inhomogenous random graph with independence between the edge...
We study a large-time limit of a Markov process whose states are finite graphs. The number of the ve...
A randomly evolving graph, with vertices immigrating at rate n and each possible edge appearing at r...
Let H m(n) be a random graph on n vertices, grown by adding vertices one at a time, joining each new...
Building on the methods developed in joint work with Béla Bollobás and Svante Janson, we study the p...
be a random Qn”‐process, that is let Q0 be the empty spanning subgraph of the cube Qn and, for 1 ⩽ t...
Component sizes in the usual random graph process are a special case of the Marcus-Lushnikov process...
What is the number of vertices in the largest connected component of the Erdös-Rényi random graph ...
We consider a model for random hypergraphs with identifiability, an analogue of connectedness. This ...
Abstract. The evolution of the largest component has been studied intensely in a variety of random g...
The aim of this paper is to study the emergence of the giant component in the uniformly grown random...
Let (Bt(s), 0 ≤ s < ∞) be reflecting inhomogeneous Brownian motion with drift t - s at time s, st...
We shall review the foundation of the theory of random graphs by Paul Erdős and Alfréd Rényi, and sk...
Over the last few years a wide array of random graph models have been postulated to understand prope...
Abstract. We study a point process describing the asymptotic behavior of sizes of the largest compon...
We introduce a very general model of an inhomogenous random graph with independence between the edge...
We study a large-time limit of a Markov process whose states are finite graphs. The number of the ve...
A randomly evolving graph, with vertices immigrating at rate n and each possible edge appearing at r...
Let H m(n) be a random graph on n vertices, grown by adding vertices one at a time, joining each new...
Building on the methods developed in joint work with Béla Bollobás and Svante Janson, we study the p...
be a random Qn”‐process, that is let Q0 be the empty spanning subgraph of the cube Qn and, for 1 ⩽ t...
Component sizes in the usual random graph process are a special case of the Marcus-Lushnikov process...
What is the number of vertices in the largest connected component of the Erdös-Rényi random graph ...
We consider a model for random hypergraphs with identifiability, an analogue of connectedness. This ...
Abstract. The evolution of the largest component has been studied intensely in a variety of random g...
The aim of this paper is to study the emergence of the giant component in the uniformly grown random...
Let (Bt(s), 0 ≤ s < ∞) be reflecting inhomogeneous Brownian motion with drift t - s at time s, st...
We shall review the foundation of the theory of random graphs by Paul Erdős and Alfréd Rényi, and sk...
Over the last few years a wide array of random graph models have been postulated to understand prope...
Abstract. We study a point process describing the asymptotic behavior of sizes of the largest compon...
We introduce a very general model of an inhomogenous random graph with independence between the edge...
We study a large-time limit of a Markov process whose states are finite graphs. The number of the ve...