Higher-Order HyperRank (HR) is a hypergraph centrality measure I developed as an independent research project for my Network Science course in fall of 2020. HR is a generalization of the PageRank algorithm which takes hypergraph motif participation into account when determining node importance. To see the full details, check out the project report.
The dataset used for this project is the Enron email dataset, courtesy of Austin R. Benson.