# Latent Space Modelling of Hypergraph Data

@article{Turnbull2019LatentSM, title={Latent Space Modelling of Hypergraph Data}, author={Kathryn Turnbull and Sim'on Lunag'omez and Christopher Nemeth and Edoardo M. Airoldi}, journal={arXiv: Methodology}, year={2019} }

The increasing prevalence of relational data describing interactions among a target population has motivated a wide literature on statistical network analysis. In many applications, interactions may involve more than two members of the population and this data is more appropriately represented by a hypergraph. In this paper, we present a model for hypergraph data which extends the latent space distance model of Hoff et al. (2002) and, by drawing a connection to constructs from computational…

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