1.6k citations · 6.7k across the 76 of their papers we have counts for
12 papers · 1 filter
When higher-order interactions matter: reducibility, parsimony, and microscopic organization
Alex Arenas, Federico Battiston, Andrea Gabrielli
The current debate on higher-order interactions raises a fundamental question: when can systems organized through group interactions be faithfully represented within a graph-based…
Motifs in temporal hypergraphs
Quintino Francesco Lotito, Lorenzo Betti, Federico Battiston +1
Network motifs, recurrent local patterns of interactions in graphs, provide fundamental insights on the interplay between structure and functionality in complex systems. Many real-…
Latent geometry organizes higher-order interactions
Berné L. Nortier, Jasper van der Kolk, Robert Jankowski +4
Higher-order structures offer a natural representation of complex systems that involve interactions between groups of different sizes. A widespread feature of their higher-order st…
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…
From streaks to synergies: A multi-scale analysis of performance and scoring in the NBA
Malvina Bozhidarova, Yanpei Cai, Ricardo M. S. Carvalho +7
Modern play-by-play data make it possible to test long-standing intuitions about basketball with the same statistical rigour now routinely applied to other professional sports. Usi…
Competing heterogeneities shape ordering via higher-order interactions
Gangmin Son, Federico Battiston, Deok-Sun Lee +1
Higher-order interactions admit richer structural heterogeneity than pairwise networks. To understand how heterogeneity impacts collective phenomena we develop a framework based on…
Hypergraphx-data: a repository for higher-order network data
Quintino Francesco Lotito, Lorenzo Betti, Berné Nortier +2
The availability of network datasets advances research in network science, machine learning and related fields by enabling empirical analyses and their reproducibility, algorithm d…
Dynamical processes and emergent behaviors in multiplex networks
Federico Battiston, Mattia Frasca, Jesus Gómez-Gardeñes +4
Over the last two decades, network science has greatly advanced our understanding of how the collective behaviors of a complex system emerge from the interactions among its basic u…
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.…
Structural reducibility of hypergraphs
Alec Kirkley, Helcio Felippe, Federico Battiston
Higher-order interactions provide a nuanced understanding of the relational structure of complex systems beyond traditional pairwise interactions. However, higher-order network ana…
Neighbourhood topology unveils pathological hubs in the brain networks of epilepsy-surgery patients
Leonardo Di Gaetano, Fernando A. N. Santos, Federico Battiston +6
Pathological hubs in the brain networks of epilepsy patients are hypothesized to drive seizure generation and propagation. In epilepsy-surgery patients, these hubs have traditional…
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…