Intervenant : Laetitia Gauvin
Laetitia Gauvin is Principal Researcher at the Institute for Scientific Interchange in the Data Science LAB of Turin, Italy. Her primary line of research examines Data Science, Complex Networks, Social Media and Urban Systems.
Détail du cours
- Introduction and Motivation for the use of network : overview on the Types of data/ Types of applications
- Presentations of different types of graphs (bipartite, multilayer, weighted/unweighted…) with definitions of basic concepts (degree, weight, strength)
- Representation of graphs: adjacency matrices
- Notion of paths and connectedness
- Statistical characterizations of networks (heterogeneous vs homogeneous distributions)
- Network models
- Temporal network and multilayer networks
- Dynamical process on networks
