Add to ORKGSome random graph models of telecommunication network topologies are discussed. In particular, we consider the question of hierarchy, the role of nodes with very high degrees, and the problem of modelling the non-homogeneity of the real world
Abstract: Many different random graph constructions are used to model large real life graphs, i.e., ...
Random networks with power-law distribution of degrees of the nodes have been studied quite extensiv...
Graph models for real-world complex networks such as the Internet, the WWW and biological networks a...
Some random graph models of telecommunication network topologies are discussed. In particular, we co...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
This paper introduces a new model and methodological approach for dealing with the probabilistic nat...
We consider random graph with power-law degree distribution as a model of communication networks. Pr...
Wireless networks in which the node locations are random are best modelled as random geometric graph...
Ubiquitous application of computer technology during the last decades has led to the emergence of di...
Abstract — Random-graph models are about to become an important tool in the study of wireless ad-hoc...
Abstract—Stochastic models for hierarchical telecommunica-tion networks are considered, which can be...
This is a research report that is part of a Chapter of a PhD thesis. An updated version will be avai...
We propose a random graph model which is a special case of sparse random graphs with given degree se...
A conditionally Poissonian power-law random graph with infinite degree variance is considered as a r...
Understanding the behavior of real complex networks is of great theoretical and practical significan...
Abstract: Many different random graph constructions are used to model large real life graphs, i.e., ...
Random networks with power-law distribution of degrees of the nodes have been studied quite extensiv...
Graph models for real-world complex networks such as the Internet, the WWW and biological networks a...
Some random graph models of telecommunication network topologies are discussed. In particular, we co...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
This paper introduces a new model and methodological approach for dealing with the probabilistic nat...
We consider random graph with power-law degree distribution as a model of communication networks. Pr...
Wireless networks in which the node locations are random are best modelled as random geometric graph...
Ubiquitous application of computer technology during the last decades has led to the emergence of di...
Abstract — Random-graph models are about to become an important tool in the study of wireless ad-hoc...
Abstract—Stochastic models for hierarchical telecommunica-tion networks are considered, which can be...
This is a research report that is part of a Chapter of a PhD thesis. An updated version will be avai...
We propose a random graph model which is a special case of sparse random graphs with given degree se...
A conditionally Poissonian power-law random graph with infinite degree variance is considered as a r...
Understanding the behavior of real complex networks is of great theoretical and practical significan...
Abstract: Many different random graph constructions are used to model large real life graphs, i.e., ...
Random networks with power-law distribution of degrees of the nodes have been studied quite extensiv...
Graph models for real-world complex networks such as the Internet, the WWW and biological networks a...