activity
20202026
most citedForecasting Seasonal Influenza Epidemics with Physics-Informed Neural Networks

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SI2026

Experienced partisan segregation across patterns of mobility behavior in US cities

Marco Tonin, Michele Tizzoni, Bruno Lepri +1

Residential and social sorting along political lines structure Americans' daily interactions, often limiting encounters with opposing viewpoints. Here, we combine high-resolution a…

physics.soc-ph2025★ 4 cited

Forecasting Seasonal Influenza Epidemics with Physics-Informed Neural Networks

Martina Rama, Gabriele Santin, Giulia Cencetti +2

Accurate epidemic forecasting is critical for informing public health decisions and timely interventions. While Physics-Informed Neural Networks have shown promise in various scien…

cs.CL2025

Twenty Years of Personality Computing: Threats, Challenges and Future Directions

Fabio Celli, Aleksandar Kartelj, Miljan Đorđević +7

Personality Computing is a field at the intersection of Personality Psychology and Computer Science. Started in 2005, research in the field utilizes computational methods to unders…

cs.SI2024

Physical partisan proximity outweighs online ties in predicting US voting outcomes

Marco Tonin, Bruno Lepri, Michele Tizzoni

Affective polarization and increasing social divisions affect social mixing and the spread of information across online and physical spaces, reinforcing social and electoral cleava…

physics.soc-ph2020

Temporal properties of higher-order interactions in social networks

Giulia Cencetti, Federico Battiston, Bruno Lepri +1

Human social interactions in local settings can be experimentally detected by recording the physical proximity and orientation of people. Such interactions, approximating face-to-f…