Let P (n,M) be a graph chosen uniformly at random from the family of all labeled planar graphs with n vertices and M edges. In the paper we study the component structure of P (n,M). Combining counting arguments with analytic techniques, we show that there are two critical periods in the evolution of P (n,M). The first one, of width Θ(n2/3), is analogous to the phase transition observed in the standard random graph models and takes place for M = n/2 +O(n2/3), when the largest complex component is formed. Then, for M = n + O(n3/5), when the complex components cover nearly all vertices, the second critical period of width n3/5 occurs. Starting from that moment increasing of M mostly affects the density of the complex components, not its size.
Consider a critical random multigraph $\mathcal{G}_n$ constructed by the configuration model such th...
In this paper, through the coupling and martingale method, we prove the order of the largest compone...
Over the last few years a wide array of random graph models have been postulated to understand prope...
Let H m(n) be a random graph on n vertices, grown by adding vertices one at a time, joining each new...
Let H m(n) be a random graph on n vertices, grown by adding vertices one at a time, joining each new...
Let H m(n) be a random graph on n vertices, grown by adding vertices one at a time, joining each new...
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...
The classical random graph models, in particular G(n,p), are homogeneous, in the sense that the ...
We consider a model for random hypergraphs with identifiability, an analogue of connectedness. This ...
We consider a model for random hypergraphs with identifiability, an analogue of connectedness. This ...
Abstract. The ‘classical ’ random graph models, in particular G(n, p), are ‘homogeneous’, in the sen...
We study a large-time limit of a Markov process whose states are finite graphs. The number of the ve...
Summary. Consider a critical random multigraph Gn with n vertices constructed by the configuration m...
We study the phase transition in a random graph in which vertices and edges are added at constant ra...
Consider a critical random multigraph $\mathcal{G}_n$ constructed by the configuration model such th...
In this paper, through the coupling and martingale method, we prove the order of the largest compone...
Over the last few years a wide array of random graph models have been postulated to understand prope...
Let H m(n) be a random graph on n vertices, grown by adding vertices one at a time, joining each new...
Let H m(n) be a random graph on n vertices, grown by adding vertices one at a time, joining each new...
Let H m(n) be a random graph on n vertices, grown by adding vertices one at a time, joining each new...
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...
The classical random graph models, in particular G(n,p), are homogeneous, in the sense that the ...
We consider a model for random hypergraphs with identifiability, an analogue of connectedness. This ...
We consider a model for random hypergraphs with identifiability, an analogue of connectedness. This ...
Abstract. The ‘classical ’ random graph models, in particular G(n, p), are ‘homogeneous’, in the sen...
We study a large-time limit of a Markov process whose states are finite graphs. The number of the ve...
Summary. Consider a critical random multigraph Gn with n vertices constructed by the configuration m...
We study the phase transition in a random graph in which vertices and edges are added at constant ra...
Consider a critical random multigraph $\mathcal{G}_n$ constructed by the configuration model such th...
In this paper, through the coupling and martingale method, we prove the order of the largest compone...
Over the last few years a wide array of random graph models have been postulated to understand prope...