collaborators

9 papers

q-bio.QM2026

muxvizpy: a Python library for the analysis of multilayer biological networks

Matteo Baldan, Francesco Zambelli, Andrea Valsecchi +4

Biological systems are inherently multilayered: the same entities---genes, cells, or bacterial species---participate simultaneously in qualitatively distinct types of interactions,…

physics.soc-ph2026

Scaling laws in complex component systems as consequences of heterogeneous sampling

Luca Allegri, Johannes Nauta, Manlio De Domenico

Complex component systems are collections of discrete units such as species, words, genes, whose observed realizations are naturally summarized by component counts. Many empirical…

cs.SI2026

Measuring the co-evolution of online engagement with (mis)information and its visibility at scale

Yueting Han, Paolo Turrini, Marya Bazzi +3

Online attention is an increasingly valuable resource in the digital age, with extraordinary events such as the COVID-19 pandemic fuelling fierce competition around it. As misinfor…

q-bio.PE2026

Pathogen diversity emerging from coevolutionary dynamics in interconnected systems

Davide Zanchetta, Vittoria Bettio, Sandro Azaele +1

The spread of infectious disease and the evolution of antigenically distinct strains are often modeled separately, despite strong feedbacks mediated by host immune memory and heter…

physics.soc-ph2026

Graphs are maximally expressive for higher-order interactions

Tiago P. Peixoto, Leto Peel, Thilo Gross +1

We demonstrate that graph-based models are fully capable of representing higher-order interactions, and have a long history of being used for precisely this purpose. This stands in…

physics.soc-ph2025

The Physics of News, Rumors, and Opinions

Guido Caldarelli, Oriol Artime, Giulia Fischetti +5

The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information…