Content

• introduction • models of networks (including Erdos-Renyi, PA and configuration model) • dynamics on networks I: random walks • centrality measures • assortativity and homophily • community detection • stochastic Block Models • dynamics on networks II: epidemic Spreading

Teaching methods

After about 15 hours of lectures, students will work on a project on mathematical and/or computational aspects of network science.

Assessment method

In groups of two or three, students will be asked to submit a project in which they reproduce and critically present the results of one or more research articles. The projects will be presented during the examination period.

Sources, references and any support material

A syllabus will be made available to students.

Language of instruction

French