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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hypernetx-a-python-package-for-modeling-complex-network-data-as-hypergraphs-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Brenda Praggastis,Sinan G. Aksoy,Dustin Arendt,Mark Bonicillo,Cliff Joslyn,Emilie Purvine,Madelyn Shapiro,Ji Young Yun |
| Citations | 25 |
| DOI | 10.21105/joss.06016 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Physics and Astronomy |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://joss.theoj.org/papers/10.21105/joss.06016.pdf |
| OpenAlex ID | https://openalex.org/W4392618837 |
| Type | software-paper |
| Year | 2024 |

## Paper authors

- [Ji Young Yun](https://scholariq.org/researchers/ji-young-yun/)

## Paper primary topic

- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)

## Paper topics

- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)
- [Data Visualization and Analytics](https://scholariq.org/topics/data-visualization-and-analytics/)
- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.