Add to ORKGAbstract. We study a generalized version of the protean graph (a probabilistic model of the World Wide Web) with a power law degree distribution, in which the degree of a vertex depends on its age as well as its rank. The main aim of this paper is to study the behaviour of the protean process near the connectivity threshold. Since even above the connectivity threshold it is still possible that the graph becomes disconnected, it is important to investigate the recovery time for connectivity, that is, how long we have to wait to regain a connectivity. 1
Power laws, in particular power-law degree distributions, have been observed in real-world networks ...
AbstractWe propose a new random graph model–edge popularity–for the web graph and other complex netw...
A general purpose in Graph Theory is to describe any graph structure and provide all the information...
AbstractWe study a generalized version of the protean graph (a probabilistic model of the World Wide...
AbstractWe introduce a new class of random graph models for complex real-world networks, based on th...
Abstract. We introduce a new class of random graph models for complex real-world networks, based on ...
AbstractThe web graph is a real-world self-organizing network whose vertices correspond to web pages...
In many real-world networks, such as the Internet and social networks, power-law degree sequences ha...
Abstract. We study the link structure of on-line social networks (OSNs), and in-troduce a new model ...
Abstract. We study the link structure of online social networks (OSNs) and introduce a new model for...
Two preferential attachment-type graph models which allow for dynamic addition/deletion of edges/ver...
ments for the degree of Doctor of Science. A probabilistic graph is a linear graph in which both nod...
We analyse the threshold network model in which a pair of vertices with random weights are connected...
We survey the recent work on phase transition and distances in various random graph models with gene...
Power laws, in particular power-law degree distributions, have been observed in real-world networks ...
Power laws, in particular power-law degree distributions, have been observed in real-world networks ...
AbstractWe propose a new random graph model–edge popularity–for the web graph and other complex netw...
A general purpose in Graph Theory is to describe any graph structure and provide all the information...
AbstractWe study a generalized version of the protean graph (a probabilistic model of the World Wide...
AbstractWe introduce a new class of random graph models for complex real-world networks, based on th...
Abstract. We introduce a new class of random graph models for complex real-world networks, based on ...
AbstractThe web graph is a real-world self-organizing network whose vertices correspond to web pages...
In many real-world networks, such as the Internet and social networks, power-law degree sequences ha...
Abstract. We study the link structure of on-line social networks (OSNs), and in-troduce a new model ...
Abstract. We study the link structure of online social networks (OSNs) and introduce a new model for...
Two preferential attachment-type graph models which allow for dynamic addition/deletion of edges/ver...
ments for the degree of Doctor of Science. A probabilistic graph is a linear graph in which both nod...
We analyse the threshold network model in which a pair of vertices with random weights are connected...
We survey the recent work on phase transition and distances in various random graph models with gene...
Power laws, in particular power-law degree distributions, have been observed in real-world networks ...
Power laws, in particular power-law degree distributions, have been observed in real-world networks ...
AbstractWe propose a new random graph model–edge popularity–for the web graph and other complex netw...
A general purpose in Graph Theory is to describe any graph structure and provide all the information...