We analyse a random graph where the node degrees are (almost) independent and have a distribution with finite mean but infinite variance - a region observed in empirical studies of the Internet. We show that the existence of very large nodes has a great influence on the connectivity. If N denotes the number of nodes it seems that the distance between two randomly chosen nodes of the giant component grows as slowly as log log(N). The essential observation is that very large nodes form a spontaneously arising "core network", which plays a crucial role in the connectivity, although its proportional size goes to zero as N → ∞. Several results related to the core are proven rigorously, and a sketch of a full proof is given. Some simulations prov...
We study the large-scale topological and dynamical properties of real Internet maps at the autonomou...
We investigate the growth of connectivity in a network. In our model, starting with a set of disjoin...
In this paper we derive results concerning the connected components and the diameter of random graph...
We analyse a random graph where the node degrees are (almost) independent and have a distribution wi...
Simplifying stochastic models of the topology of Internet have been studied intensively during the p...
COST279TD(02)02 We analyse a random graph where the node degrees are (almost) independent and have a...
Random networks with power-law distribution of degrees of the nodes have been studied quite extensiv...
Consider the following modification of the Barabási–Albert random graph. At every step a new vertex...
We study the weight-dependent random connection model, a class of sparse graphs featuring many real-...
Consider random graph with $N+ 1$ vertices as follows. The degrees of vertices $1,2,\ldots, N$ are t...
We consider the issue of protection in very large networks displaying randomness in topology. We emp...
This paper presents a simple framework, called WalkAbout, to infer a coarse view of connectivity in ...
Recent empirical studies [7] have shown that Internet topologies exhibit power laws of the form y = ...
AbstractWe show that random graphs in the preferential connectivity model have constant conductance,...
We study a number of properties of a simple random growing directed network which can be used to mo...
We study the large-scale topological and dynamical properties of real Internet maps at the autonomou...
We investigate the growth of connectivity in a network. In our model, starting with a set of disjoin...
In this paper we derive results concerning the connected components and the diameter of random graph...
We analyse a random graph where the node degrees are (almost) independent and have a distribution wi...
Simplifying stochastic models of the topology of Internet have been studied intensively during the p...
COST279TD(02)02 We analyse a random graph where the node degrees are (almost) independent and have a...
Random networks with power-law distribution of degrees of the nodes have been studied quite extensiv...
Consider the following modification of the Barabási–Albert random graph. At every step a new vertex...
We study the weight-dependent random connection model, a class of sparse graphs featuring many real-...
Consider random graph with $N+ 1$ vertices as follows. The degrees of vertices $1,2,\ldots, N$ are t...
We consider the issue of protection in very large networks displaying randomness in topology. We emp...
This paper presents a simple framework, called WalkAbout, to infer a coarse view of connectivity in ...
Recent empirical studies [7] have shown that Internet topologies exhibit power laws of the form y = ...
AbstractWe show that random graphs in the preferential connectivity model have constant conductance,...
We study a number of properties of a simple random growing directed network which can be used to mo...
We study the large-scale topological and dynamical properties of real Internet maps at the autonomou...
We investigate the growth of connectivity in a network. In our model, starting with a set of disjoin...
In this paper we derive results concerning the connected components and the diameter of random graph...