activity
20242026
most citedMultilayer network science: theory, methods, and applications

4 citations · 4 across the 3 of their papers we have counts for

collaborators

10 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

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-ph20264 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-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-ph2026

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…