Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: sciencedirect.com, zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: SwanseaUniversityMedical
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 328 KB
Statistics
  • Stars: 4
  • Watchers: 4
  • Forks: 0
  • Open Issues: 2
  • Releases: 5
Created about 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Hypergraphs for Multimorbidity Research

Tests DOI

This is a collection of tools for constructing and analysing hypergraphs from data. Hypergraphs are very general and powerful objects for data analysis which connect nodes and edges. As for binary graphs, nodes can conect to any number of edges but in a hypergraph, edges can connect to any number of nodes which leads to some very useful features!

This set of tools is for the analysis of large scale data with hypergraphs, i.e, a specialist toolkit that will focus on a small number of specific features. If you are looking for a general tool kit for hypergraphs including visualisation, check out hypernetx (https://github.com/pnnl/HyperNetX).

A publication describing what this code does can be found here: https://www.sciencedirect.com/science/article/pii/S1532046421002458

Install using pip: pip install multimorbidity-hypergraphs

To import: import multimorbidity_hypergraphs as hgt

Run tests using pytest in the top directory.

Owner

  • Name: Swansea University Medical School
  • Login: SwanseaUniversityMedical
  • Kind: organization

Citation (CITATION.cff)

# YAML 1.2
---
authors: 
  -
    affiliation: "Swansea University Medical School"
    family-names: Rafferty
    given-names: James
    orcid: "https://orcid.org/0000-0002-1667-7265"
  -
    affiliation: "Swansea University, dept. of Computer Science"
    family-names: Bennet
    given-names: Ed
    orcid: "https://orcid.org/0000-0002-1678-6701"
  -
    affiliation: "Swansea University Medical School"
    family-names: Lee
    given-names: Alex
    orcid: "https://orcid.org/0000-0001-7916-024X"
cff-version: "1.1.0"
date-released: 2021-10-15
doi: "10.5281/zenodo.5285008"
message: "If you use this software, please cite it using these metadata."
title: "multimorbidity_hypergraphs"
version: "0.3.5"
...

GitHub Events

Total
  • Push event: 7
Last Year
  • Push event: 7

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 11
  • Total pull requests: 0
  • Average time to close issues: 11 days
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 1.18
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jim-rafferty (11)
Pull Request Authors
Top Labels
Issue Labels
enhancement (6) bug (2)
Pull Request Labels

Dependencies

environment.yml conda
  • numba >=0.48
  • numpy >=1.18
  • pandas
  • pytest
  • pytest-benchmark
  • scipy
  • statsmodels