We show, through local estimates and simulation, that if one constrains simple graphs by their densities of edges and τ of triangles, then asymptotically (in the number of vertices) for over 95 % of the possible range of those densities there is a well-defined typical graph, and it has a very simple structure: the vertices are decomposed into two subsets V1 and V2 of fixed relative size c and 1 − c, and there are well-defined probabilities of edges, gjk, between vj ∈ Vj, and vk ∈ Vk. Furthermore the four parameters c, g11, g22 and g12 are smooth functions of (, τ) except at two smooth ‘phase transition ’ curves.
The inducibility of a graph H measures the maximum number of induced copies of H a large graph G can...
For the Erdős–Rényi random graph Gn,p, we give a precise asymptotic formula for the size â1(Gn,p) of...
Let Q be a monotone decreasing property of graphs G on n vertices. Erdos, Suen and Winkler [5] intro...
We study the asymptotics of large simple graphs constrained by the limiting density of edges and the...
We study the asymptotics of large, simple, labeled graphs constrained by the den-sities of k-star su...
AbstractWe consider n independent points with a common but arbitrary density f in Rd. Two points (Xi...
The unconstrained exponential family of random graphs assumes no prior knowledge of the graph before...
We consider the edge-triangle model, a two-parameter family of exponential random graphs in which de...
Abstract. We study a point process describing the asymptotic behavior of sizes of the largest compon...
This thesis is dedicated to the study of the asymptotic behavior of some large random graphs and tre...
Several upper bounds are given for the maximum number of edges e possible in a graph depending upon ...
AbstractWe show that the number gn of labelled series–parallel graphs on n vertices is asymptoticall...
Recently, we adapted random walk arguments based on work of Nachmias and Peres, Martin-Löf, Karp and...
Abstract. We study the asymptotics for sparse exponential random graph models where the parameters m...
AbstractLet G be a graph on v labelled vertices with E edges, without loops or multiple edges. Let v...
The inducibility of a graph H measures the maximum number of induced copies of H a large graph G can...
For the Erdős–Rényi random graph Gn,p, we give a precise asymptotic formula for the size â1(Gn,p) of...
Let Q be a monotone decreasing property of graphs G on n vertices. Erdos, Suen and Winkler [5] intro...
We study the asymptotics of large simple graphs constrained by the limiting density of edges and the...
We study the asymptotics of large, simple, labeled graphs constrained by the den-sities of k-star su...
AbstractWe consider n independent points with a common but arbitrary density f in Rd. Two points (Xi...
The unconstrained exponential family of random graphs assumes no prior knowledge of the graph before...
We consider the edge-triangle model, a two-parameter family of exponential random graphs in which de...
Abstract. We study a point process describing the asymptotic behavior of sizes of the largest compon...
This thesis is dedicated to the study of the asymptotic behavior of some large random graphs and tre...
Several upper bounds are given for the maximum number of edges e possible in a graph depending upon ...
AbstractWe show that the number gn of labelled series–parallel graphs on n vertices is asymptoticall...
Recently, we adapted random walk arguments based on work of Nachmias and Peres, Martin-Löf, Karp and...
Abstract. We study the asymptotics for sparse exponential random graph models where the parameters m...
AbstractLet G be a graph on v labelled vertices with E edges, without loops or multiple edges. Let v...
The inducibility of a graph H measures the maximum number of induced copies of H a large graph G can...
For the Erdős–Rényi random graph Gn,p, we give a precise asymptotic formula for the size â1(Gn,p) of...
Let Q be a monotone decreasing property of graphs G on n vertices. Erdos, Suen and Winkler [5] intro...