Let D be a non-negative integer-valued random variable and let G = (V, E) be an infinite transitive finite-degree graph. Continuing the work of Deijfen and Meester (Adv Appl Probab 38:287-298) and Deijfen and Jonasson (Electron Comm Probab 11:336-346), we seek an Aut(G)-invariant random graph model with V as vertex set, iid degrees distributed as D and finite mean connections (i.e., the sum of the edge lengths in the graph metric of G of a given vertex has finite expectation). It is shown that if G has either polynomial growth or rapid growth, then such a random graph model exists if and only if double strok E sign [D,R(D)] 0. All known transitive graphs have either polynomial or rapid growth. It is believed that no other growth rates are ...
Many empirical studies on real-life networks show that many networks are small worlds, meaning that ...
In this paper, a random graph process {G(t)}t≥1 is studied and its degree sequence is analyzed. Let ...
We introduce a model for a growing random graph based on simultaneous reproduction of the vertices. ...
Let D be a non-negative integer-valued random variable and let G = (V, E) be an infinite transitive ...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...
A Markov chain approach to the study of randomly grown graphs is proposed and applied to some popula...
We survey the recent work on phase transition and distances in various random graph models with gene...
Barabási-Albert random graph models are a class of evolving random graphs that are frequently used t...
In this paper we derive results concerning the connected components and the diameter of random graph...
Let [P] be the points of a Poisson process on Rd and F a probability distribution with support on th...
Let F be a probability distribution with support on the nonnegative integers. We describe two algori...
Random graphs is a well-studied field of probability theory, and have proven very useful in a range ...
Let F be a probability distribution with support on the nonnegative integers. We describe two algori...
A random graph evolution mechanism is defined. The evolution studied is a combination of the prefere...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...
Many empirical studies on real-life networks show that many networks are small worlds, meaning that ...
In this paper, a random graph process {G(t)}t≥1 is studied and its degree sequence is analyzed. Let ...
We introduce a model for a growing random graph based on simultaneous reproduction of the vertices. ...
Let D be a non-negative integer-valued random variable and let G = (V, E) be an infinite transitive ...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...
A Markov chain approach to the study of randomly grown graphs is proposed and applied to some popula...
We survey the recent work on phase transition and distances in various random graph models with gene...
Barabási-Albert random graph models are a class of evolving random graphs that are frequently used t...
In this paper we derive results concerning the connected components and the diameter of random graph...
Let [P] be the points of a Poisson process on Rd and F a probability distribution with support on th...
Let F be a probability distribution with support on the nonnegative integers. We describe two algori...
Random graphs is a well-studied field of probability theory, and have proven very useful in a range ...
Let F be a probability distribution with support on the nonnegative integers. We describe two algori...
A random graph evolution mechanism is defined. The evolution studied is a combination of the prefere...
Let F be a probability distribution with support on the non-negative integers. A model is proposed f...
Many empirical studies on real-life networks show that many networks are small worlds, meaning that ...
In this paper, a random graph process {G(t)}t≥1 is studied and its degree sequence is analyzed. Let ...
We introduce a model for a growing random graph based on simultaneous reproduction of the vertices. ...