Node and edge nonlinear eigenvector centrality for hypergraphs

Evaluating the importance of nodes and hyperedges in hypergraphs is relevant to link detection, link prediction and matrix completion. Here, the authors define a family of nonlinear eigenvector centrality measures for both edges and nodes in hypergraphs, propose an algorithm to calculate them, and i...

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Bibliographic Details
Main Authors: Francesco Tudisco, Desmond J. Higham
Format: Article
Language:English
Published: Nature Portfolio 2021-09-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-021-00704-2