262 citations · 1.1k across the 26 of their papers we have counts for
12 papers · 1 filter
A pair-based approximation for simplicial contagion
Federico Malizia, Luca Gallo, Mattia Frasca +3
Higher-order interactions play an important role in complex contagion processes. Mean-field approximations have been used to characterize the onset of spreading in the presence of…
Reconstructing higher-order interactions in coupled dynamical systems
Federico Malizia, Alessandra Corso, Lucia Valentina Gambuzza +3
Higher-order interactions play a key role for the stability and function of a complex system. However, how to identify them is still an open problem. Here, we propose a method to f…
Individual- and pair-based models of epidemic spreading: master equations and analysis of their forecasting capabilities
Federico Malizia, Luca Gallo, Mattia Frasca +2
Mathematical modeling of disease spreading plays a crucial role in understanding, controlling and preventing epidemic outbreaks. In a microscopic description of the propagation of…
The synchronized dynamics of time-varying networks
Dibakar Ghosh, Mattia Frasca, Alessandro Rizzo +4
Over the past two decades, complex network theory provided the ideal framework for investigating the intimate relationships between the topological properties characterizing the wi…
Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models
Luca Gallo, Mattia Frasca, Vito Latora +1
Compartmental models are widely adopted to describe and predict the spreading of infectious diseases. The unknown parameters of such models need to be estimated from the data. Furt…
Controlling symmetries and clustered dynamics of complex networks
L. V. Gambuzza, M. Frasca, F. Sorrentino +2
Symmetries are an essential feature of complex networks as they regulate how the graph collective dynamics organizes into clustered states. We here show how to control network symm…