Add to ORKGInternational audienceWhile most real-world graphs are known to share similar properties with respect to connectivity or degree distribution, generating artificial graphs with those properties is still a challenging issue. In this paper, we propose to use random walks on random graphs to create graphs similar to real-world ones.La plupart des graphes de terrain représentant des phénomènes du monde réel partagent des propriétés similaires de connectivité et de distribution des degrés , cependant, la génération artificielle de graphes possédant ces propriétés reste encore une question difficile. Dans cet article, nous proposons d'utiliser des marches aléatoires sur des graphes aléatoires pour créer des graphes dont la connectivité et la distr...
Plusieurs types de réseaux du monde réel peuvent être représentés par des graphes. Comme il s'agit d...
We propose a random walks based model to generate complex networks. Many authors studied and develop...
This rigorous introduction to network science presents random graphs as models for real-world networ...
International audienceWhile most real-world graphs are known to share similar properties with respec...
Numerous studies show that most known real-world complex networks share similar properties in their ...
This book supports researchers who need to generate random networks, or who are interested in the th...
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
Graph embedding, representing local and global neighborhood information by numerical vectors, is a c...
Most networks and databases that humans have to deal with contain large, albeit finite number of uni...
Many empirical studies on real-life networks show that many networks are small worlds, meaning that ...
In this book, we study random graphs as models for real-world networks. Since 1999, many real-world ...
Whenever one wishes to try out or fine tune a social network analysis solution, being able to apply ...
Many real-world networks are intrinsically directed. Such networks include activation of genes, hype...
This rigorous introduction to network science presents random graphs as models for real-world networ...
Ubiquitous application of computer technology during the last decades has led to the emergence of di...
Plusieurs types de réseaux du monde réel peuvent être représentés par des graphes. Comme il s'agit d...
We propose a random walks based model to generate complex networks. Many authors studied and develop...
This rigorous introduction to network science presents random graphs as models for real-world networ...
International audienceWhile most real-world graphs are known to share similar properties with respec...
Numerous studies show that most known real-world complex networks share similar properties in their ...
This book supports researchers who need to generate random networks, or who are interested in the th...
Empirical findings have shown that many real-world networks share fascinating features. Indeed, many...
Graph embedding, representing local and global neighborhood information by numerical vectors, is a c...
Most networks and databases that humans have to deal with contain large, albeit finite number of uni...
Many empirical studies on real-life networks show that many networks are small worlds, meaning that ...
In this book, we study random graphs as models for real-world networks. Since 1999, many real-world ...
Whenever one wishes to try out or fine tune a social network analysis solution, being able to apply ...
Many real-world networks are intrinsically directed. Such networks include activation of genes, hype...
This rigorous introduction to network science presents random graphs as models for real-world networ...
Ubiquitous application of computer technology during the last decades has led to the emergence of di...
Plusieurs types de réseaux du monde réel peuvent être représentés par des graphes. Comme il s'agit d...
We propose a random walks based model to generate complex networks. Many authors studied and develop...
This rigorous introduction to network science presents random graphs as models for real-world networ...