HyperNetX: A Python package for modeling complex network data as hypergraphs

Python Submitted 16 October 2023 • Published 09 March 2024
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Authors

Brenda Praggastis (0000-0003-1344-0497), Sinan Aksoy (0000-0002-3466-3334), Dustin Arendt (0000-0003-2466-199X), Mark Bonicillo (0009-0003-9764-2180), Cliff Joslyn (0000-0002-5923-5547), Emilie Purvine (0000-0003-2069-5594), Madelyn Shapiro (0000-0002-2786-7056), Ji Young Yun

Citation

Praggastis et al., (2024). HyperNetX: A Python package for modeling complex network data as hypergraphs. Journal of Open Source Software, 9(95), 6016, https://doi.org/10.21105/joss.06016

@article{Praggastis2024, doi = {10.21105/joss.06016}, url = {https://doi.org/10.21105/joss.06016}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {95}, pages = {6016}, author = {Brenda Praggastis and Sinan Aksoy and Dustin Arendt and Mark Bonicillo and Cliff Joslyn and Emilie Purvine and Madelyn Shapiro and Ji Young Yun}, title = {HyperNetX: A Python package for modeling complex network data as hypergraphs}, journal = {Journal of Open Source Software} }
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hypergraph network science simplicial-complexes knowledge graph simplicial-homology s-linegraph property hypergraph

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Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066