… They are particularly suitable for the analysis of affiliation networks [Latouche, Birmelé and
Ambroise (2009)]. Most existing community discovery algorithms are based on the modularity …

The classical problem of efficiently listing all the simple cycles in a graph has been studied
since the early 70s. For a graph with n vertices and m edges, containing η cycles, the most …

Networks are a commonly used mathematical model to describe the rich set of interactions
between objects of interest. Many clustering methods have been developed in order to …

Network motifs are at the core of modern studies on biological networks, trying to encompass
global features such as small-world or scale-free properties. Detection of significant motifs …

It is now widely accepted that knowledge can be acquired from networks by clustering their
vertices according to the connection profiles. Many methods have been proposed and in this …

Mediation analysis aims at disentangling the effects of a treatment on an outcome through
alternative causal mechanisms and has become a popular practice in biomedical and social …

We show that, for every l, the family Fl of circuits of length at least l satisfies the Erdos–Pósa
property, with f (k)= 13l (k− 1)(k− 2)+(2l+ 3)(k− 1), thereby sharpening a result of C. …

Motivation: The increasing availability of metabolomics data enables to better understand the
metabolic processes involved in the immediate response of an organism to environmental …

Networks are used in many scientific fields such as biology, social science, and information
technology. They aim at modelling, with edges, the way objects of interest, represented by …

Most biological networks have some common properties, on which models have to fit. The
main one is that those networks are scale-free, that is that the distribution of the vertex …