52 citations · 56 across the 13 of their papers we have counts for
13 papers
Hypergraph backboning
Alec Kirkley, Helcio Felippe, Federico Malizia +1
Hypergraphs provide a natural framework for describing complex networked systems with higher-order, non-dyadic interactions. Due to their high dimensionality and often redundant st…
Emergence of cooperation in nonlinear higher-order public goods games
Jaume Llabrés, Onkar Sadekar, Federico Malizia +1
Evolutionary game theory has provided substantial contributions to explain the emergence of cooperation under unfavorable conditions in ecology, economics, and the social sciences.…
Group dynamics shape contagion onsets and multistable active phases under collective reinforcement
Santiago Lamata-Otín, Federico Malizia, Leah A. Keating +4
Group-based reinforcement can induce discontinuous transitions from inactive to active phases in higher-order contagion models. However, these results are typically obtained on sta…
Unveiling the impact of cross-order hyperdegree correlations in contagion processes on hypergraphs
Andrés Guzmán, Federico Malizia, István Z. Kiss
Contagion processes in social systems often involve interactions that go beyond pairwise contacts. Higher-order networks, represented as hypergraphs, have been widely used to model…
Nested hyperedges promote the onset of collective transitions but suppress explosive behavior
Federico Malizia, Andrés Guzmán, Federico Battiston +1
Higher-order interactions can induce abrupt collective transitions, yet the microscopic mechanisms controlling macroscopic critical behavior remain unclear. Here we show that neste…
Social polarization promoted by sparse higher-order interactions
Hugo Pérez-Martínez, Santiago Lamata-Otín, Federico Malizia +3
Many social interactions are group-based, yet their role in social polarization remains largely unexplored. To bridge this gap here we introduce a higher-order framework that takes…
Inferring contact network characteristics from epidemic data via compact mean-field models
Andrés Guzmán, Federico Malizia, Gyeong Ho Park +3
Modelling epidemics using contact networks provides a significant improvement over classical compartmental models by explicitly incorporating the network of contacts. However, whil…
Hyperedge Overlap drives Synchronizability of Systems with Higher-Order interactions
Santiago Lamata-Otín, Federico Malizia, Vito Latora +2
The microscopic organization of dynamical systems coupled via higher-order interactions plays a pivotal role in understanding their collective behavior. In this paper, we introduce…
Disentangling the role of heterogeneity and hyperedge overlap in explosive contagion on higher-order networks
Federico Malizia, Andrés Guzmán, Iacopo Iacopini +1
We introduce group-based compartmental modeling (GBCM), a mean-field framework for irreversible contagion in higher-order networks that captures structural heterogeneity and correl…
Hyperedge overlap drives explosive collective behaviors in systems with higher-order interactions
Federico Malizia, Santiago Lamata-Otín, Mattia Frasca +2
Recent studies have shown that novel collective behaviors emerge in complex systems due to the presence of higher-order interactions. However, how the collective behavior of a syst…
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…