International audienceAn 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 these graphs via their clique incidence bipartite graphs. However, this approach has, until now, severe limitations resulting from its incapacity to reproduce a key property of this object: the overlapping nature of cliques in complex networks. In order to get rid of these limitations we propose to encode the structure of clique overlaps in a network thanks to a process consisting in iteratively factorising the maximal bicliques between the upper level and the other levels of a multipartite graph. We show that the most natural definition of ...
We develop a full theoretical approach to clustering in complex networks. A key concept is introduce...
BACKGROUND: Integrating and analyzing heterogeneous genome-scale data is a huge algorithmic challeng...
In real world complex networks, communities are usually both overlapping and hierarchical. A very im...
International audienceAn intense activity is nowadays devoted to the definition of models capturing ...
International audienceWe define a new graph operator, called the weak-factor graph, which comes from...
The analysis and modelling of various complex networks has received much at-tention in the last few ...
AbstractThe problem of enumerating the maximal cliques of a graph is a computationally expensive pro...
Let F = {I_1, I_2, ..., I_n} be a finite family of closed intervals on the real line. For two distin...
International audienceIt is widely accepted that an ideal community in networks is the one whose str...
Abstract. Networks are often studied as graphs, where the vertices stand for entities in the world a...
A graph is a cycle of cliques, if its set of vertices can be partitioned into clusters, such that ea...
We propose the n-clique network as a powerful tool for understanding global struc-tures of combined ...
International audienceIt is widely accepted that an ideal community in networks is the onewhose stru...
The analysis and modelling of various complex networks has received much attention in the last few y...
Multi-relational dynamics are ubiquitous in many complex systems like transportations, social and bi...
We develop a full theoretical approach to clustering in complex networks. A key concept is introduce...
BACKGROUND: Integrating and analyzing heterogeneous genome-scale data is a huge algorithmic challeng...
In real world complex networks, communities are usually both overlapping and hierarchical. A very im...
International audienceAn intense activity is nowadays devoted to the definition of models capturing ...
International audienceWe define a new graph operator, called the weak-factor graph, which comes from...
The analysis and modelling of various complex networks has received much at-tention in the last few ...
AbstractThe problem of enumerating the maximal cliques of a graph is a computationally expensive pro...
Let F = {I_1, I_2, ..., I_n} be a finite family of closed intervals on the real line. For two distin...
International audienceIt is widely accepted that an ideal community in networks is the one whose str...
Abstract. Networks are often studied as graphs, where the vertices stand for entities in the world a...
A graph is a cycle of cliques, if its set of vertices can be partitioned into clusters, such that ea...
We propose the n-clique network as a powerful tool for understanding global struc-tures of combined ...
International audienceIt is widely accepted that an ideal community in networks is the onewhose stru...
The analysis and modelling of various complex networks has received much attention in the last few y...
Multi-relational dynamics are ubiquitous in many complex systems like transportations, social and bi...
We develop a full theoretical approach to clustering in complex networks. A key concept is introduce...
BACKGROUND: Integrating and analyzing heterogeneous genome-scale data is a huge algorithmic challeng...
In real world complex networks, communities are usually both overlapping and hierarchical. A very im...