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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