1.6k citations · 6.7k across the 76 of their papers we have counts for
81 papers
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…
Information theory for hypergraph similarity
Helcio Felippe, Alec Kirkley, Federico Battiston
Comparing networks is essential for a number of downstream tasks, from clustering to anomaly detection. Despite higher-order interactions being critical for understanding the dynam…
Mixed higher-order coupling stabilizes new states
Per Sebastian Skardal, Federico Battiston, Maxime Lucas +3
Understanding how higher-order interactions affect collective behavior is a central problem in nonlinear dynamics and complex systems. Most works have focused on a single higher-or…
Collective dynamics on higher-order networks
Federico Battiston, Christian Bick, Maxime Lucas +3
Higher-order interactions that nonlinearly couple more than two nodes are important in many networked systems, and their effects on collective dynamics are increasingly being studi…
Drivers of cooperation in social dilemmas on higher-order networks
Onkar Sadekar, Andrea Civilini, Vito Latora +1
Understanding cooperation in social dilemmas requires models that capture the complexity of real-world interactions. While network frameworks have provided valuable insights to mod…
Higher-order shortest paths in hypergraphs
Berné L. Nortier, Simon Dobson, Federico Battiston
One of the defining features of complex networks is the connectivity properties that we observe emerging from local interactions. Recently, hypergraphs have emerged as a versatile…
Collective dynamics behind success
Manuel S. Mariani, Federico Battiston, Emőke-Ágnes Horvát +3
Understanding the collective dynamics behind the success of ideas, products, behaviors, and social actors is critical for decision-making across diverse contexts, including hiring,…
Higher-order Ising model on hypergraphs
Thomas Robiglio, Leonardo Di Gaetano, Ada Altieri +2
Non-dyadic higher-order interactions affect collective behavior in various networked dynamical systems. Here we discuss the properties of a novel Ising model with higher-order inte…
The microscale organization of directed hypergraphs
Quintino Francesco Lotito, Alberto Vendramini, Alberto Montresor +1
Many real-world complex systems are characterized by non-pairwise -- higher-order -- interactions among system's units, and can be effectively modeled as hypergraphs. Directed hype…
The networks of ingredient combinations as culinary fingerprints of world cuisines
Claudio Caprioli, Saumitra Kulkarni, Federico Battiston +3
Investigating how different ingredients are combined in popular dishes is crucial to uncover the principles behind food preferences. Here, we use data from public food repositories…
Team careers in science: formation, composition and success of persistent collaborations
Sandeep Chowdhary, Luca Gallo, Federico Musciotto +1
Teams are the fundamental units propelling innovation and advancing modern science. A rich literature links the fundamental features of teams, such as their size and diversity, to…
Gender disparities in the dissemination and acquisition of scientific knowledge
Chiara Zappalà, Luca Gallo, Jan Bachmann +2
Recent research has challenged the widespread belief that gender inequities in academia would disappear simply by increasing the number of women. More complex causes might be at pl…
Higher-order modeling of face-to-face interactions
Luca Gallo, Chiara Zappalà, Fariba Karimi +1
The most fundamental social interactions among humans occur face-to-face. Their features have been extensively studied in recent years, owing to the availability of high-resolution…