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

Python Submitted 16 October 2023 • Published 09 March 2024
Software repository Paper review Download paper Software archive
Review

Editor: @danielskatz (all papers)
Reviewers: @szhorvat (all reviews), @IvanIsCoding (all reviews), @drj11 (all reviews)

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} }
Copy citation string · Copy BibTeX  
Tags

hypergraph network science simplicial-complexes knowledge graph simplicial-homology s-linegraph property hypergraph

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Journal of Open Source Software is an affiliate of the Open Source Initiative.

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

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066