activity
20192024
most citedSynchronization induced by directed higher-order interactions

113 citations · 225 across the 11 of their papers we have counts for

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Showing physics.soc-phShow all

6 papers · 1 filter

physics.soc-ph2023★ 3 cited

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…

physics.soc-ph2023★ 2 cited

Complex contagion in social systems with distrust

Jean-François de Kemmeter, Luca Gallo, Fabrizio Boncoraglio +2

Social systems are characterized by the presence of group interactions and by the existence of both trust and distrust relations. Although there is a wide literature on signed soci…

physics.soc-ph2023★ 40 cited

Hypergraphx: a library for higher-order network analysis

Quintino Francesco Lotito, Martina Contisciani, Caterina De Bacco +6

From social to biological systems, many real-world systems are characterized by higher-order, non-dyadic interactions. Such systems are conveniently described by hypergraphs, where…

physics.soc-ph2023★ 1 cited

Higher-order correlations reveal complex memory in temporal hypergraphs

Luca Gallo, Lucas Lacasa, Vito Latora +1

Many real-world complex systems are characterized by interactions in groups that change in time. Current temporal network approaches, however, are unable to describe group dynamics…

physics.soc-ph2021

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…

physics.soc-ph2021

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…