53 citations · 235 across the 13 of their papers we have counts for
13 papers
Group adaptation drives opinion dynamics in higher-order networks
Cosimo Agostinelli, Marco Mancastroppa, Alain Barrat
In modern interconnected societies, opinions and beliefs can quickly spread across large populations, giving rise to collective behaviors such as the adoption of social norms or po…
Higher-order adaptive behaviors outperform pairwise strategies in mitigating contagion dynamics
Marco Mancastroppa, Márton Karsai, Alain Barrat
When exposed to a contagion phenomenon, individuals may respond to the perceived risk of infection by adopting behavioral changes, aiming to reduce their exposure or their risk of…
Adaptive behaviors neutralize bistable explosive transitions in higher-order contagion
Marco Mancastroppa, Márton Karsai, Alain Barrat
During contagion phenomena, individuals perceiving a risk of infection commonly adapt their behavior and reduce their exposure. The effects of such adaptive mechanisms have been st…
Emerging Activity Temporal Hypergraph: a model for generating realistic time-varying hypergraphs
Marco Mancastroppa, Giulia Cencetti, Alain Barrat
Time-varying group interactions constitute the building blocks of many complex systems. The framework of temporal hypergraphs makes it possible to represent them by taking into acc…
Higher-order dissimilarity measures for hypergraph comparison
Cosimo Agostinelli, Marco Mancastroppa, Alain Barrat
In recent years, networks with higher-order interactions have emerged as a powerful tool to model complex systems. Comparing these higher-order systems remains however a challenge.…
The structural evolution of temporal hypergraphs through the lens of hyper-cores
Marco Mancastroppa, Iacopo Iacopini, Giovanni Petri +1
The richness of many complex systems stems from the interactions among their components. The higher-order nature of these interactions, involving many units at once, and their temp…
Preserving system activity while controlling epidemic spreading in adaptive temporal networks
Marco Mancastroppa, Alessandro Vezzani, Vittoria Colizza +1
Human behaviour strongly influences the spread of infectious diseases: understanding the interplay between epidemic dynamics and adaptive behaviours is essential to improve respons…
Distinguishing simple and complex contagion processes on networks
Giulia Cencetti, Diego Andrés Contreras, Marco Mancastroppa +1
Contagion processes on networks, including disease spreading, information diffusion, or social behaviors propagation, can be modeled as simple contagion, i.e. involving one connect…
Hyper-cores promote localization and efficient seeding in higher-order processes
Marco Mancastroppa, Iacopo Iacopini, Giovanni Petri +1
Going beyond networks, to include higher-order interactions of arbitrary sizes, is a major step to better describe complex systems. In the resulting hypergraph representation, tool…
Sideward contact tracing and the control of epidemics in large gatherings
Marco Mancastroppa, Andrea Guizzo, Claudio Castellano +2
Effective contact tracing is crucial to contain epidemic spreading without disrupting societal activities especially in the present time of coexistence with a pandemic outbreak. La…
Stochastic sampling effects favor manual over digital contact tracing
Marco Mancastroppa, Claudio Castellano, Alessandro Vezzani +1
Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of…
Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks
Marco Mancastroppa, Raffaella Burioni, Vittoria Colizza +1
We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By usin…
Burstiness in activity-driven networks and the epidemic threshold
Marco Mancastroppa, Alessandro Vezzani, Miguel A. Muñoz +1
We study the effect of heterogeneous temporal activations on epidemic spreading in temporal networks. We focus on the susceptible-infected-susceptible (SIS) model on activity-drive…