“Hypergraphs are a natural and powerful choice for modeling group interactions in the real world, which are often referred to as higher-order networks. For example, when modeling collaboration networks, where collaborations can involve not just two but three or more people, employing hypergraphs allows us to explore beyond pairwise (dyadic) patterns and capture groupwise (polyadic) patterns. … We provide comprehensive taxonomies for them, and we also provide in-depth discussions to provide insights into future research on hypergraph mining.”

Find the paper and full list of authors at ArXiv.