Some growth asymptotics of a version of “preferential attachment ” random graphs are studied through an embedding into a continuous-time branching scheme. These results complement and extend previous work in the literature
Continuous-time branching processes describe the evolution of a population whose individuals generat...
We study the evolution of the graph distance and weighted distance between two fixed vertices in dyn...
Preferential attachment drives the evolution of many complex networks. Its analytical studies mostly...
In this paper a continuous-time evolving random graph model is defined and examined. The main units ...
Continuous-time branching processes (CTBPs) are powerful tools in random graph theory, but are not a...
In the present thesis, we consider three different random graph-theoretic growth models. These model...
Continuous-time branching processes (CTBPs) are powerful tools in random graph theory, but are not a...
In this paper, a random graph process {G(t)} (ta parts per thousand yen1) is studied and its degree ...
In this paper, a random graph process {G(t)}t≥1 is studied and its degree sequence is analyzed. Let ...
In this paper, a random graph process {G(t)}t≥1 is studied and its degree sequence is analyzed. Let ...
Random graphs is a well-studied field of probability theory, and have proven very useful in a range ...
We consider an evolving preferential attachment random graph model where at discrete times a new nod...
A basic theme in probability is the use of simple approximations to study complex systems. In this t...
Comparing individual contributions in a strongly interacting system of stochastic growth processes c...
Continuous-time branching processes describe the evolution of a population whose individuals generat...
We study the evolution of the graph distance and weighted distance between two fixed vertices in dyn...
Preferential attachment drives the evolution of many complex networks. Its analytical studies mostly...
In this paper a continuous-time evolving random graph model is defined and examined. The main units ...
Continuous-time branching processes (CTBPs) are powerful tools in random graph theory, but are not a...
In the present thesis, we consider three different random graph-theoretic growth models. These model...
Continuous-time branching processes (CTBPs) are powerful tools in random graph theory, but are not a...
In this paper, a random graph process {G(t)} (ta parts per thousand yen1) is studied and its degree ...
In this paper, a random graph process {G(t)}t≥1 is studied and its degree sequence is analyzed. Let ...
In this paper, a random graph process {G(t)}t≥1 is studied and its degree sequence is analyzed. Let ...
Random graphs is a well-studied field of probability theory, and have proven very useful in a range ...
We consider an evolving preferential attachment random graph model where at discrete times a new nod...
A basic theme in probability is the use of simple approximations to study complex systems. In this t...
Comparing individual contributions in a strongly interacting system of stochastic growth processes c...
Continuous-time branching processes describe the evolution of a population whose individuals generat...
We study the evolution of the graph distance and weighted distance between two fixed vertices in dyn...
Preferential attachment drives the evolution of many complex networks. Its analytical studies mostly...
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