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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-…
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…
Hyperlink communities in higher-order networks
Quintino Francesco Lotito, Federico Musciotto, Alberto Montresor +1
Many networks can be characterised by the presence of communities, which are groups of units that are closely linked. Identifying these communities can be crucial for understanding…
Community Detection in Large Hypergraphs
Nicolò Ruggeri, Martina Contisciani, Federico Battiston +1
Hypergraphs, describing networks where interactions take place among any number of units, are a natural tool to model many real-world social and biological systems. In this work we…
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…
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…