We consider a model for complex networks that was introduced by Krioukov et al. (Phys Rev E 82 (2010) 036106). In this model, N points are chosen randomly inside a disk on the hyperbolic plane according to a distorted version of the uniform distribution and any two of them are joined by an edge if they are within a certain hyperbolic distance. This model exhibits a power-law degree sequence, small distances and high clustering. The model is controlled by two parameters α and ν where, roughly speaking, α controls the exponent of the power-law and ν controls the average degree. In this paper we focus on the probability that the graph is connected. We show the following results. For α > 1/2 and ν arbitrary, the graph is disconnected with high ...
Consider the random graph G(Pn,r) whose vertex set Pn is a Poisson point process of intensity n on (...
version plus longue que la version courte de ANALCOInternational audienceRandom hyperbolic graphs we...
In this paper we consider the existence of Hamilton cycles and perfect matchings in a random graph m...
We consider a model for complex networks that was introduced by Krioukov et al. (Phys Rev E 82 (2010...
This work is a study of a family of random geometric graphs on the hyperbolic plane. In this setting...
In this paper we consider the clustering coefficient, and clustering function in a random graph mode...
We consider a model for complex networks that was introduced by Krioukov et al. In this model, N poi...
The theme of this paper is the study of typical distances in a ran-dom graph model that was introduc...
Modularity is a quantity which has been introduced in the context of complex networks in order to qu...
We consider a random graph model that was recently proposed as a model for complex networks by Kriou...
In this thesis we study a random graph model proposed by Krioukov et al.~in 2010. In this model, ver...
We consider a random geometric hypergraph model based on an underlying bipartite graph. Nodes and hy...
In this paper we study weighted distances in scale-free spatial network models: hyperbolic random gr...
Consider the random graph G(Pn,r) whose vertex set Pn is a Poisson point process of intensity n on (...
version plus longue que la version courte de ANALCOInternational audienceRandom hyperbolic graphs we...
In this paper we consider the existence of Hamilton cycles and perfect matchings in a random graph m...
We consider a model for complex networks that was introduced by Krioukov et al. (Phys Rev E 82 (2010...
This work is a study of a family of random geometric graphs on the hyperbolic plane. In this setting...
In this paper we consider the clustering coefficient, and clustering function in a random graph mode...
We consider a model for complex networks that was introduced by Krioukov et al. In this model, N poi...
The theme of this paper is the study of typical distances in a ran-dom graph model that was introduc...
Modularity is a quantity which has been introduced in the context of complex networks in order to qu...
We consider a random graph model that was recently proposed as a model for complex networks by Kriou...
In this thesis we study a random graph model proposed by Krioukov et al.~in 2010. In this model, ver...
We consider a random geometric hypergraph model based on an underlying bipartite graph. Nodes and hy...
In this paper we study weighted distances in scale-free spatial network models: hyperbolic random gr...
Consider the random graph G(Pn,r) whose vertex set Pn is a Poisson point process of intensity n on (...
version plus longue que la version courte de ANALCOInternational audienceRandom hyperbolic graphs we...
In this paper we consider the existence of Hamilton cycles and perfect matchings in a random graph m...