We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
An intense activity is nowadays devoted to the definition of models capturing the properties of complex networks. Among the most promising approaches, it has been proposed to model...
Matthieu Latapy, Thi Ha Duong Phan, Christophe Cre...
Ubiquitous multimedia services are emerging to be available at anytime and anywhere using a variety of computing devices. In this paper, we propose a low-complexity unequal loss pr...
It appeared recently that the classical random graph model used to represent real-world complex networks does not capture their main properties. Since then, various attempts have ...
Complex networks capture interactions among entities in various application areas in a graph representation. Analyzing large scale complex networks often answers important question...