Analyzing ecological network data

Ecological networks, Modularity, Nestedness, Generative Stochastic Models & Multilayer networks

 

This five-day training course, co-organized with the ANR EcoNet, aims to train young researchers in analyzing ecological network data. The course covers a general introduction to networks, classical metrics (including modularity, nesteness, clustering), null models, generative models (including SBM), multilayer networks, as well as an overview of newer techniques (such as embedding). Each topic is explored through lectures followed by practicals.

 

This course is delivered in English and takes place in March at CESAB’s premises in Montpellier. The fee is 250 € for the week, including lunch. Travel, accommodation, and evening meal costs are the responsibility of the participants.

 

 

Find the training course on GitHub

 

 

 

 

 

List of speakers:

• Sophie DONNET (INRAe, MIA)
• Sonia KEFI (CNRS, ISEM)
• François MASSOL (CNRS, iEES-Paris)
• Catherine MATIAS (CNRS)
• Stéphane ROBIN (Sorbonne Université)
• Elisa THEBAULT (CNRS, iEES-Paris)