activity
20122026
most citedModeling echo chambers and polarization dynamics in social networks

443 citations · 1.8k across the 47 of their papers we have counts for

collaborators

52 papers

cs.SI2026

Platform Sorting Drives Ideological Fragmentation in the Social Media Ecosystem

Edoardo Di Martino, Alessandro Galeazzi, Matteo Cinelli +2

Ideological asymmetries in online political communication are often studied as localized phenomena emerging within communities. Here, we show that fragmentation instead operates at…

physics.soc-ph2026

Cross-order induced behaviors in contagion dynamics on higher-order networks

Kaloyan Danovski, Sandro Meloni, Michele Starnini

Recent studies have shown that novel collective behaviors emerge in complex systems due to higher-order interactions. However, the way in which the structural correlations of these…

physics.soc-ph2026

Modeling financial transactions via random walks on temporal networks

Carolina E. Mattsson, Claudio Cellerini, Jaume Ojer +1

We model financial transactions as random walks on activity-driven temporal networks. By enforcing fund conservation, our framework analytically derives heavy-tailed distributions…

physics.soc-ph2025★ 4 cited

Multilayer network science: theory, methods, and applications

Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda +14

Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increa…

physics.soc-ph2025

Opinion dynamics: Statistical physics and beyond

Michele Starnini, Fabian Baumann, Tobias Galla +5

Opinion dynamics, the study of how individual beliefs and collective public opinion evolve, is a fertile domain for applying statistical physics to complex social phenomena. Like p…

physics.soc-ph2025

Modeling individual attention dynamics on online social media

Jaume Ojer, Filippo Radicchi, Santo Fortunato +2

In the attention economy, understanding how individuals manage limited attention is critical. We introduce a simple model describing the decay of a user's engagement when facing mu…