We consider the complete graph K n on n vertices with exponential mean n edge lengths. Writing C ij for the weight of the smallest-weight path between vertices i, j ∈ [n], Janson [18] showed that max i,j∈[n] C ij/logn converges in probability to 3. We extend these results by showing that max i,j∈[n] C ij - 3 logn converges in distribution to some limiting random variable that can be identified via a maximization procedure on a limiting infinite random structure. Interestingly, this limiting random variable has also appeared as the weak limit of the re-centred graph diameter of the barely supercritical Erdos-Rényi random graph in [22]. </p
It is well known that many random graphs with infinite variance degrees are ultra-small. More precis...
We study random graphs with an i.i.d. degree sequence of which the tail of the distribution function...
We study random graphs with an i.i.d. degree sequence of which the tail of the distribution function...
We consider the complete graph K n on n vertices with exponential mean n edge lengths. Writing C ij ...
We consider the complete graph K n on n vertices with exponential mean n edge lengths. Writing C ij ...
We consider the complete graph K n on n vertices with exponential mean n edge lengths. Writing C ij ...
We consider the complete graph 휅n on n vertices with exponential mean n edge lengths. Writing Cij fo...
We consider the complete graph K_n on n vertices with exponential mean n edge lengths. Writing C_{ij...
We consider the complete graph K_n on n vertices with exponential mean n edge lengths. Writing C_{ij...
Abstract. We consider the complete graph Kn on n vertices with exponential mean n edge lengths. Writ...
We consider the complete graph K_n on n vertices with exponential mean n edge lengths. Writing C_{ij...
We consider the complete graph K_n on n vertices with exponential mean n edge lengths. Writing C_{ij...
In this paper, we study the complete graph $K_n$ with $n$ vertices, where we attach an i.i.d.~weight...
In this paper, we study the complete graph $K_n$ with $n$ vertices, where we attach an i.i.d.~weight...
It is well known that many random graphs with infinite variance degrees are ultra-small. More precis...
It is well known that many random graphs with infinite variance degrees are ultra-small. More precis...
We study random graphs with an i.i.d. degree sequence of which the tail of the distribution function...
We study random graphs with an i.i.d. degree sequence of which the tail of the distribution function...
We consider the complete graph K n on n vertices with exponential mean n edge lengths. Writing C ij ...
We consider the complete graph K n on n vertices with exponential mean n edge lengths. Writing C ij ...
We consider the complete graph K n on n vertices with exponential mean n edge lengths. Writing C ij ...
We consider the complete graph 휅n on n vertices with exponential mean n edge lengths. Writing Cij fo...
We consider the complete graph K_n on n vertices with exponential mean n edge lengths. Writing C_{ij...
We consider the complete graph K_n on n vertices with exponential mean n edge lengths. Writing C_{ij...
Abstract. We consider the complete graph Kn on n vertices with exponential mean n edge lengths. Writ...
We consider the complete graph K_n on n vertices with exponential mean n edge lengths. Writing C_{ij...
We consider the complete graph K_n on n vertices with exponential mean n edge lengths. Writing C_{ij...
In this paper, we study the complete graph $K_n$ with $n$ vertices, where we attach an i.i.d.~weight...
In this paper, we study the complete graph $K_n$ with $n$ vertices, where we attach an i.i.d.~weight...
It is well known that many random graphs with infinite variance degrees are ultra-small. More precis...
It is well known that many random graphs with infinite variance degrees are ultra-small. More precis...
We study random graphs with an i.i.d. degree sequence of which the tail of the distribution function...
We study random graphs with an i.i.d. degree sequence of which the tail of the distribution function...