Add to ORKGThis article presents a stochastic method for studying the structure of large small worlds graphs. The principle of this method is to apply a PageRank-like importance algorithm, with a damping factor and an external importance source. By varying the source vector, one obtains a powerful graph visualization tool, which reveals the structural organization of small worlds graphs
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
AbstractNew classes of random graphs have recently been shown to exhibit the small world phenomenon—...
?Small-world networks? have a high degree of local clustering or cliqueness, like a regular lattice ...
This article presents a stochastic method for studying the structure of large small worlds graphs. T...
Numerous studies show that most known real-world complex networks share similar properties in their ...
The purpose of this thesis is to study the algorithmic aspects of the small world phenomenon in larg...
International audienceThe discovery of small world properties in real-world networks has revolutioni...
In addition to statistical graph properties (diameter, degree, clustering, ...), Kleinberg showed in...
Network science is driven by the question which properties large real-world networks have and how we...
Recent theoretical studies and extensive data analyses have revealed a common feature displayed by b...
New classes of random graphs have recently been shown to exhibit the small world phenomenon - they a...
International audienceProx is a stochastic method to map the local and global structures of real-wor...
International audienceWhile most real-world graphs are known to share similar properties with respec...
<p>Random, small-world and scale-free networks containing 20 nodes and 73 connections were generated...
this research, and for the helpful comments of two reviewers. This research was conducted with suppo...
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
AbstractNew classes of random graphs have recently been shown to exhibit the small world phenomenon—...
?Small-world networks? have a high degree of local clustering or cliqueness, like a regular lattice ...
This article presents a stochastic method for studying the structure of large small worlds graphs. T...
Numerous studies show that most known real-world complex networks share similar properties in their ...
The purpose of this thesis is to study the algorithmic aspects of the small world phenomenon in larg...
International audienceThe discovery of small world properties in real-world networks has revolutioni...
In addition to statistical graph properties (diameter, degree, clustering, ...), Kleinberg showed in...
Network science is driven by the question which properties large real-world networks have and how we...
Recent theoretical studies and extensive data analyses have revealed a common feature displayed by b...
New classes of random graphs have recently been shown to exhibit the small world phenomenon - they a...
International audienceProx is a stochastic method to map the local and global structures of real-wor...
International audienceWhile most real-world graphs are known to share similar properties with respec...
<p>Random, small-world and scale-free networks containing 20 nodes and 73 connections were generated...
this research, and for the helpful comments of two reviewers. This research was conducted with suppo...
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
AbstractNew classes of random graphs have recently been shown to exhibit the small world phenomenon—...
?Small-world networks? have a high degree of local clustering or cliqueness, like a regular lattice ...