  We establish a new theory which gives a unified topological approach to data
science, by being applicable both to point cloud data and to graph data,
including networks beyond pairwise interactions. We generalize simplicial
complexes and hypergraphs to super-hypergraphs and establish super-hypergraph
homology as an extension of simplicial homology. Driven by applications, we
also introduce super-persistent homology.
