In this work we are concerned with recursive trees and linear preferential attachment trees. These are random tree growth processes; that is random networks, with no cycles that evolve with time by sequentially connecting new vertices to the existing network. Despite having similar descriptions, there are several qualitative differences between recursive trees and linear preferential attachment trees; for example, their degree distributions and maximum degrees. Although the vertices with highest degree have been described for linear preferential attachment trees, an study for recursive trees with the same level of detail is missing in the literature. We obtain a description, in very much detail, of the number and location of vertices with n...
We comment on old and new results related to the destruction of a random recursive tree (RRT), in wh...
We study the maximal degree of (sub)critical Lévy trees which arise as the scaling limits of Bienaym...
We study the asymptotic growth rate of the label size of high-degree vertices in weighted recursive ...
AbstractIf a recursive tree is selected uniformly at random from among all recursive trees on n vert...
We study the basic preferential attachment process, which generates a sequence of random trees, each...
We study two models of growing recursive trees. For both models, initially the tree only contains on...
A weighted recursive tree is an evolving tree in which vertices are assigned random vertex-weights a...
Random recursive trees are classic models of random trees. A random recursive tree is initiated with...
AbstractSimple families of increasing trees can be constructed from simply generated tree families, ...
In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distributi...
Abstract. We study depth properties of a general class of random recursive trees where each node i a...
We study depth properties of a general class of random recursive trees where each node n attaches to...
In this paper, we study the joint behaviour of the degree, depth and label of and graph distance bet...
We develop a combinatorial structure to serve as model of random real world networks. Starting with ...
We develop a combinatorial structure to serve as model of random real world networks. Starting with ...
We comment on old and new results related to the destruction of a random recursive tree (RRT), in wh...
We study the maximal degree of (sub)critical Lévy trees which arise as the scaling limits of Bienaym...
We study the asymptotic growth rate of the label size of high-degree vertices in weighted recursive ...
AbstractIf a recursive tree is selected uniformly at random from among all recursive trees on n vert...
We study the basic preferential attachment process, which generates a sequence of random trees, each...
We study two models of growing recursive trees. For both models, initially the tree only contains on...
A weighted recursive tree is an evolving tree in which vertices are assigned random vertex-weights a...
Random recursive trees are classic models of random trees. A random recursive tree is initiated with...
AbstractSimple families of increasing trees can be constructed from simply generated tree families, ...
In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distributi...
Abstract. We study depth properties of a general class of random recursive trees where each node i a...
We study depth properties of a general class of random recursive trees where each node n attaches to...
In this paper, we study the joint behaviour of the degree, depth and label of and graph distance bet...
We develop a combinatorial structure to serve as model of random real world networks. Starting with ...
We develop a combinatorial structure to serve as model of random real world networks. Starting with ...
We comment on old and new results related to the destruction of a random recursive tree (RRT), in wh...
We study the maximal degree of (sub)critical Lévy trees which arise as the scaling limits of Bienaym...
We study the asymptotic growth rate of the label size of high-degree vertices in weighted recursive ...