Hypergraph reconstruction from network data

Abstract

Higher-order interactions intervene in a large variety of networked phenomena, from shared interests known to influence the creation of social ties, to co-location shaping networks embedded in space, like power grids. This work introduces a Bayesian framework to infer higher-order interactions hidden in network data.