# Randomizing Hypergraphs Preserving Degree Correlation and Local Clustering

@article{Nakajima2022RandomizingHP, title={Randomizing Hypergraphs Preserving Degree Correlation and Local Clustering}, author={Kazuki Nakajima and Kazuyuki Shudo and Naoki Masuda}, journal={IEEE Transactions on Network Science and Engineering}, year={2022}, volume={9}, pages={1139-1153} }

Many complex systems involve direct interactions among more than two entities and can be represented by hypergraphs, in which hyperedges encode higher-order interactions among an arbitrary number of nodes. To analyze structures and dynamics of given hypergraphs, a solid practice is to compare them with those for randomized hypergraphs that preserve some specific properties of the original hypergraphs. In the present study, we propose a family of such reference models for hypergraphs, called the…

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