activity
20202026
most citedMultilayer Network Science: from Cells to Societies

37 citations · 65 across the 7 of their papers we have counts for

collaborators

9 papers

physics.soc-ph2026

Statistical Laws of Human Mobility under Large-Scale Behavioural Shock

Alberto Amaduzzi, Lucila G. Alvarez-Zuzek, Valeria d'Andrea +8

Human mobility follows robust statistical laws, but whether these laws persist under large, sudden behavioural shocks remains unclear. Here we analyse privacy-enhanced GPS trajecto…

cs.CV2026

HyperLoop: Hyperspectral-Assisted Loop Closure Detection in 3D-SLAM for Planetary Exploration

Annie Bhalla, Dennis Rotondi, Riccardo Giubilato +2

Autonomous navigation of planetary rovers is challenged by visually repetitive, featureless terrain. SLAM systems based on 3D Gaussian Splatting (3DGS) offer dense mapping but rely…

physics.bio-ph2024

Challenges and opportunities for digital twins in precision medicine: a complex systems perspective

Manlio De Domenico, Luca Allegri, Guido Caldarelli +6

The adoption of digital twins (DTs) in precision medicine is increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside…

physics.soc-ph2024★ 37 cited

Multilayer Network Science: from Cells to Societies

Oriol Artime, Barbara Benigni, Giulia Bertagnolli +5

Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the past decade, multilayer network science -- the branch of…

cond-mat.dis-nn2022

Complex topological features of reservoirs shape learning performances in bio-inspired recurrent neural networks

Valeria d'Andrea, Michele Puppin, Manlio De Domenico

Recurrent networks are a special class of artificial neural systems that use their internal states to perform computing tasks for machine learning. One of its state-of-the-art deve…

physics.soc-ph2022★ 1 cited

Estimating SARS-CoV-2 transmission in educational settings: a retrospective cohort study

Mattia Manica, Piero Poletti, Silvia Deandrea +12

Background School closures and distance learning have been extensively applied to control SARS-CoV-2 transmission. Despite evidence of viral circulation in schools, the contributio…

q-bio.PE2022★ 3 cited

Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data

Mattia Manica, Maria Litvinova, Alfredo De Bellis +18

Background. During 2021, the COVID-19 pandemic was characterized by the emergence of lineages with increased fitness. For most of these variants, quantitative information is scarce…

nlin.CD2020

Compressing phase space detects state changes in nonlinear dynamical systems

Valeria d'Andrea, Manlio De Domenico

Equations governing the nonlinear dynamics of complex systems are usually unknown and indirect methods are used to reconstruct their manifolds. In turn, they depend on embedding pa…

physics.soc-ph2020★ 24 cited

Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms

Oriol Artime, Valeria d'Andrea, Riccardo Gallotti +2

Online social networks are the perfect test bed to better understand large-scale human behavior in interacting contexts. Although they are broadly used and studied, little is known…