About the course
The complexity of many biological, social and technological systems stems from the richness of the interactions among their units. Over the past decades, a variety of complex systems has been successfully described using networks, whose interacting pairs of nodes are connected by links. Yet, from human communications to chemical reactions and ecological systems, interactions can often occur in groups of three or more nodes and cannot be described simply in terms of pairs or dyads. A mounting body of evidence is showing that taking the higher-order structure of these systems into account can enhance our modeling capacities and help us understand and predict their dynamical behavior. Participants in this course will learn the main theoretical and methodological advances of the physics of networks beyond pairwise interactions and learn to apply the python XGI package to network analysis.
Topics covered include:
- Introduction to higher-order networks: Formalism
- Dynamics on higher-order networks
- Tutorial on the XGI package
Speakers
- Ginestra Bianconi, Queen Mary’s University of London
- Baruch Barzel, Bar-Ilan University, Israel
- Nicholas Landry, University of Vermont
Agenda
- 9:30 – 10:30 a.m.: Session 1
- 10:30 – 11:00 a.m.: Coffee break
- 11:00 a.m. – 12:00 p.m.: Session 2
- 12:00 – 1:00 p.m.: Lunch
- 1:00 – 2:00 p.m.: Session 3, part 1
- 2:00 – 2:15 p.m.: Break
- 2:15 – 3:15 PM: Session 3, part 2
Organizers
- Raffaella Burioni, University of Parma, Italy
- Guido Caldarelli, University Ca’Foscari, Venice, Italy
- Santo Fortunato, Indiana University Bloomington
- Filippo Radicchi, Indiana University Bloomington