Saint-Clair Chabert-Liddell

Saint-Clair Chabert-Liddell
French National Institute for Agriculture, Food, and Environment (INRAE) | INRAE · Mathématiques et Informatique Appliquées (MIA)

PhD
Postdoc

About

6
Publications
438
Reads
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7
Citations
Citations since 2016
6 Research Items
7 Citations
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201620172018201920202021202201234567
Education
October 2018 - March 2022
Université Paris-Saclay
Field of study
  • Applied mathematics, Statistics
September 2017 - June 2018
Sorbonne Université
Field of study
  • Applied Mathematics, Statistics

Publications

Publications (6)
Preprint
Full-text available
Let a collection of networks represent interactions within several (social or ecological) systems. Two main issues arise: identifying similarities between the topological structures of the networks or clustering the networks according to the similarities in their structures. We tackle these two questions with a probabilistic model based approach. W...
Thesis
Full-text available
This thesis deals with the development of statistical methods for the analysis of collections of interaction networks through three original contributions. Interaction networks are a natural way to represent in graph form the exchanges or relationships existing between a set of nodes representing species or individuals. Considering collections of n...
Article
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 from the rest of the network when extinctions occur sequentially. Classically, the robustness is calculated for a given network, from the simulation of a large number of...
Preprint
Full-text available
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 from the rest of the network when extinctions occur sequentially. Classically, the robustness is calculated for a given network, from the simulation of a large number of...
Article
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 organizations. The levels are linked by an affiliation relationship, each individual belonging to a unique organization. A new Stochastic Block Model is proposed as a unified...
Preprint
Full-text available
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 organizations. The levels are linked by an affiliation relationship, each individual belonging to a unique organization. A new Stochastic Block Model is proposed as a unifie...

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