activity
20102025
most citedA Stochastic Block Model Approach for the Analysis of Multilevel Networks: an Application to the Sociology of Organizations

16 citations · 61 across the 13 of their papers we have counts for

collaborators

14 papers

stat.ML2025

Common Structure Discovery in Collections of Bipartite Networks: Application to Pollination Systems

Louis Lacoste, Pierre Barbillon, Sophie Donnet

Bipartite networks are widely used to encode the ecological interactions. Being able to compare the organization of bipartite networks is a first step toward a better understanding…

math.ST2023

Hoeffding-type decomposition for -statistics on bipartite networks

Tâm Le Minh, Sophie Donnet, François Massol +1

We consider a broad class of random bipartite networks, the distribution of which is invariant under permutation within each type of nodes. We are interested in -statistics defi…

stat.ME2022★ 2 cited

Learning common structures in a collection of networks. An application to food webs

Saint-Clair Chabert-Liddell, Pierre Barbillon, Sophie Donnet

Let a collection of networks represent interactions within several (social or ecological) systems. We pursue two objectives: identifying similarities in the topological structures…

q-bio.PE2021★ 3 cited

Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling

Saint-Clair Chabert-Liddell, Pierre Barbillon, Sophie Donnet

The robustness of an ecological network quantifies the resilience of the ecosystem it represents to species loss. It corresponds to the proportion of species that are disconnected…

stat.ME2019★ 16 cited

A Stochastic Block Model Approach for the Analysis of Multilevel Networks: an Application to the Sociology of Organizations

Saint-Clair Chabert-Liddell, Pierre Barbillon, Sophie Donnet +1

A multilevel network is defined as the junction of two interaction networks, one level representing the interactions between individuals and the other the interactions between orga…

stat.AP2019★ 1 cited

Bayesian inference for network Poisson models

Sophie Donnet, Stéphane Robin

This work is motivated by the analysis of ecological interaction networks. Poisson stochastic blockmodels are widely used in this field to decipher the structure that underlies a w…