We develop a combinatorial structure to serve as model of random real world networks. Starting with plane oriented recursive trees we substitute the nodes by more complex graphs. In such a way we obtain graphs having a global tree-like structure while locally looking clustered. This fits with observations obtained from real-world networks. In particular we show that the resulting graphs are scale-free, that is, the degree distribution has an asymptotic powe
We consider random graph with power-law degree distribution as a model of communication networks. Pr...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
We show how scale-free degree distributions can emerge naturally from growing networks by using rand...
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 ...
In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distributi...
AbstractA power law degree distribution is established for a graph evolution model based on the grap...
Random Apollonian networks have been recently introduced for representing real graphs. In this paper...
<p>Right column shows illustrations of prototypical networks: the (ring) lattice small-world, the cl...
We consider the problem of recovering a planted partition (e.g., a small bisection or a large cut) f...
A power law degree distribution is established for a graph evolution model based on the graph class ...
Subgraphs such as cliques, loops and stars form crucial connections in the topologies of real-world ...
Random Apollonian networks have been recently introduced for representing real graphs. In this paper...
Scale free graphs have attracted attention as their non-uniform structure that can be used as a mode...
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
We consider random graph with power-law degree distribution as a model of communication networks. Pr...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
We show how scale-free degree distributions can emerge naturally from growing networks by using rand...
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 ...
In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distributi...
AbstractA power law degree distribution is established for a graph evolution model based on the grap...
Random Apollonian networks have been recently introduced for representing real graphs. In this paper...
<p>Right column shows illustrations of prototypical networks: the (ring) lattice small-world, the cl...
We consider the problem of recovering a planted partition (e.g., a small bisection or a large cut) f...
A power law degree distribution is established for a graph evolution model based on the graph class ...
Subgraphs such as cliques, loops and stars form crucial connections in the topologies of real-world ...
Random Apollonian networks have been recently introduced for representing real graphs. In this paper...
Scale free graphs have attracted attention as their non-uniform structure that can be used as a mode...
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
We consider random graph with power-law degree distribution as a model of communication networks. Pr...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
We show how scale-free degree distributions can emerge naturally from growing networks by using rand...