1.6k citations · 6.7k across the 76 of their papers we have counts for
6 papers · 1 filter
A framework to generate hypergraphs with community structure
Nicolò Ruggeri, Federico Battiston, Caterina De Bacco
In recent years hypergraphs have emerged as a powerful tool to study systems with multi-body interactions which cannot be trivially reduced to pairs. While highly structured method…
Identifying maximal sets of significantly interacting nodes in higher-order networks
Lorenzo Betti, Federico Musciotto, Federico Battiston +1
Filtering methods are fundamental tools for extracting the backbone of complex networks. Systems displaying group interactions, however, open the way to new types of filtering appr…
Exact and sampling methods for mining higher-order motifs in large hypergraphs
Quintino Francesco Lotito, Federico Musciotto, Federico Battiston +1
Network motifs are recurrent, small-scale patterns of interactions observed frequently in a system. They shed light on the interplay between the topology and the dynamics of comple…
Inference of hyperedges and overlapping communities in hypergraphs
Martina Contisciani, Federico Battiston, Caterina De Bacco
Hypergraphs, encoding structured interactions among any number of system units, have recently proven a successful tool to describe many real-world biological and social networks. H…
Unveiling the higher-order organization of multivariate time series
Andrea Santoro, Federico Battiston, Giovanni Petri +1
Time series analysis has proven to be a powerful method to characterize several phenomena in biology, neuroscience and economics, and to understand some of their underlying dynamic…
Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes
Yuanzhao Zhang, Maxime Lucas, Federico Battiston
Higher-order networks have emerged as a powerful framework to model complex systems and their collective behavior. Going beyond pairwise interactions, they encode structured relati…