Description
Date depot: 1 janvier 1900
Titre: Characterization of multilayer networks: theory and applications to the brain
Directeur de thèse:
Fabrizio DE VICO FALLANI (ICM)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
Multilayer networks recently emerged as suitable representations to capture the complex interplay within and between the different facets of systems which are not fathomable by traditional approaches in network theory. Multilayer networks are usually described by layers of networks whose nodes have both intralayer and interlayer connections, or sometimes by tensors. They make it possible to grasp higher order interactions in real complex systems and thus open the way to a new level of understanding which cannot be obtained with standard network approaches. Despite such potential, the topological properties of multilayer networks are still poorly understood and their study represents a fertile research field. This project aims to provide new formal descriptions of multilayer networks and identify universal properties that can be used to model and analyze real networked data. Among others, the project will focus on the study of human brain networks which naturally exhibit multiple layers of connectivity. The discovery of new higher order properties in multilayer brain networks can be eventually useful for a better understanding of the brain organization and ultimately of its diseases.
Doctorant.e: Presigny Charley