Ricerca di contatti, progetti,
corsi e pubblicazioni

Analysis of Social Networks

Persone

Bianchi F.

Docente titolare del corso

Lomi A.

Docente titolare del corso

Richter Mendoza F. J.

Docente titolare del corso

Malaspina A.

Assistente

Descrizione

Social network analysis reveals how connections between individuals and groups influence their actions. This course covers fundamental principles, statistical methodologies, and applications in the field, along with leveraging machine-learning algorithms for extracting value from network data.

Throughout the course, students will be actively involved, with the guidance of instructors, in developing research projects that have the potential to serve as the basis for publication in top-tier peer-reviewed journals. 

Obiettivi

By the end of the course, participants will be able to master the main mathematical and computational methods used in the analysis of social networks and know how to apply those methods to real-life network data.

Modalità di insegnamento

In presenza

Impostazione pedagogico-didattica

  • Lectures, exercises, and tutoring sessions.
  • Slides and lecture notes provided by the lecturer.

Modalità d’esame

The assessment will consist of a midterm exam (20%), a status report on the research project (30%), and a final presentation showcasing the project's findings (50%).

Bibliografia

Obbligatorio
Approfondimento

Offerta formativa