Just published: Hyper-core decomposition to investigate the interplay of node membership and group size in hypergraphs & hypercoreness centrality to understand and seed higher-order processes.
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With Marco Mancastroppa, @lordgrilo & @alainbarrat
Hyper-cores promote localization and efficient seeding in higher-order processes - Nature Communications
Networks with higher-order interactions provide better description of social and biological systems, however tools to analyze their function still need to be developed. The authors introduce here a decomposition of network in hyper-cores, that gives better understanding of spreading processes and can be applied to fingerprint real-world datasets.