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HyperNetX (HNX)

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Description

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The HNX library provides classes and methods for modeling the entities and relationships -found in complex networks as hypergraphs, the natural models for multi-dimensional network data. -As strict generalizations of graphs, hyperedges can represent arbitrary multi-way relations -among entities, and in particular can distinguish cliques and simplices, and admit singleton edges. -As both vertex adjacency and edge -incidence are generalized to be quantities, -hypergraph paths and walks thereby have both length and width because of these multiway connections. -Most graph metrics have natural generalizations to hypergraphs, but since -hypergraphs are basically set systems, they also admit to the powerful tools of algebraic topology, -including simplicial complexes and simplicial homology, to study their structure.

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This library serves as a repository of the methods and algorithms we find most useful -as we explore what hypergraphs can tell us. We have a growing community of users and contributors. -To learn more about some of our research check out our Publications.

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For comments and questions you may contact the developers directly at:

hypernetx@pnnl.gov

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