HyperNetX is a Python library for the creation and study of hypergraphs.
Project description
The HyperNetX library provides classes and methods for the analysis and visualization of complex network data modeled as hypergraphs. The library generalizes traditional graph metrics.
HypernetX was developed by the Pacific Northwest National Laboratory for the Hypernets project as part of its High Performance Data Analytics (HPDA) program. PNNL is operated by Battelle Memorial Institute under Contract DE-ACO5-76RL01830.
Principle Developer and Designer: Brenda Praggastis
Visualization: Dustin Arendt, Ji Young Yun
High Performance Computing: Tony Liu, Andrew Lumsdaine
Principal Investigator: Cliff Joslyn
Program Manager: Mark Raugas, Brian Kritzstein
Mathematics, methods, and algorithms: Sinan Aksoy, Dustin Arendt, Cliff Joslyn, Andrew Lumsdaine, Tony Liu, Brenda Praggastis, and Emilie Purvine
The code in this repository is intended to support researchers modeling data as hypergraphs. We have a growing community of users and contributors. Documentation is available at: <https://pnnl.github.io/HyperNetX/>
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