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25 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…
Impact of physicality on network structure
Márton Pósfai, Balázs Szegedy, Iva Bačić +5
The emergence of detailed maps of physical networks, like the brain connectome, vascular networks, or composite networks in metamaterials, whose nodes and links are physical entiti…
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
Tiago P. Peixoto, Alec Kirkley
The task of community detection, which aims to partition a network into clusters of nodes to summarize its large-scale structure, has spawned the development of many competing algo…
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…
Hey, robot! An investigation of getting robot's attention through touch
Hagen Lehmann, Adam Rojik, Kassandra Friebe +1
Touch is a key part of interaction and communication between humans, but has still been little explored in human-robot interaction. In this work, participants were asked to approac…