Add to ORKGNumerous studies show that most known real-world complex networks share similar properties in their connectivity and degree distribution. They are called small worlds. This article gives a method to turn random graphs into Small World graphs by the dint of random walks
AbstractIn addition to statistical graph properties (diameter, degree, clustering, etc.), Kleinberg ...
Small world graphs are examples of random graphs which mimick empirically observed features of socia...
We examine a simple economic model of network formation where agents benefit from indirect relations...
Numerous studies show that most known real-world complex networks share similar properties in their ...
International audienceThe discovery of small world properties in real-world networks has revolutioni...
International audienceWhile most real-world graphs are known to share similar properties with respec...
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
In addition to statistical graph properties (diameter, degree, clustering, ...), Kleinberg showed in...
This article presents a stochastic method for studying the structure of large small worlds graphs. T...
Many real-world networks are intrinsically directed. Such networks include activation of genes, hype...
AbstractWe study Small-World graphs in the perspective of their use in the development of efficient ...
<p>Random, small-world and scale-free networks containing 20 nodes and 73 connections were generated...
The purpose of this thesis is to study the algorithmic aspects of the small world phenomenon in larg...
The famous Watts–Strogatz (WS) small-world network model does not approach the Erdős–Rényi (ER) rand...
We study the statistical properties of a variety of diverse real-world networks. We present evidence...
AbstractIn addition to statistical graph properties (diameter, degree, clustering, etc.), Kleinberg ...
Small world graphs are examples of random graphs which mimick empirically observed features of socia...
We examine a simple economic model of network formation where agents benefit from indirect relations...
Numerous studies show that most known real-world complex networks share similar properties in their ...
International audienceThe discovery of small world properties in real-world networks has revolutioni...
International audienceWhile most real-world graphs are known to share similar properties with respec...
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
In addition to statistical graph properties (diameter, degree, clustering, ...), Kleinberg showed in...
This article presents a stochastic method for studying the structure of large small worlds graphs. T...
Many real-world networks are intrinsically directed. Such networks include activation of genes, hype...
AbstractWe study Small-World graphs in the perspective of their use in the development of efficient ...
<p>Random, small-world and scale-free networks containing 20 nodes and 73 connections were generated...
The purpose of this thesis is to study the algorithmic aspects of the small world phenomenon in larg...
The famous Watts–Strogatz (WS) small-world network model does not approach the Erdős–Rényi (ER) rand...
We study the statistical properties of a variety of diverse real-world networks. We present evidence...
AbstractIn addition to statistical graph properties (diameter, degree, clustering, etc.), Kleinberg ...
Small world graphs are examples of random graphs which mimick empirically observed features of socia...
We examine a simple economic model of network formation where agents benefit from indirect relations...