Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.9%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
Tulip python utility classes and plugins
Basic Info
- Host: GitHub
- Owner: guywiz
- Language: Python
- Default Branch: master
- Size: 10.1 MB
Statistics
- Stars: 3
- Watchers: 4
- Forks: 2
- Open Issues: 0
- Releases: 0
Created about 10 years ago
· Last pushed about 1 year ago
Metadata Files
Readme
Citation
README.md
PyTulip
Tulip python utility classes and plugins
Utility classes versus Tulip plug-ins
Code in this repository should always come in pairs: a python class that can be imported as such into a python script, or a python Tulip plugin that can be imported in the Tulip GUI.
(Pairs of) code files follow the naming convention:
- <UtilityClass>.py (FabulousMetric.py, for instance)
- <UtilityClass>Plugin.py (FabulousMetricPlugin.py, for instance)
However, not all code follows this convention. Still working on it.
Owner
- Login: guywiz
- Kind: user
- Repositories: 15
- Profile: https://github.com/guywiz
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Source code for multivariate multigraph reduction (as part of a repo of utility classes designed for the tulip-python graph library.)
message: >-
python implementation of a multivariate multigraph
reduction algorithm, together with several utility classes
to use the historization capability, as well as the
on-the-fly recomputation of weights
type: software
authors:
- given-names: Guy
family-names: Melançon
email: guywiz@gmail.com
orcid: 'https://orcid.org/0000-0003-3193-7261'
repository-code: 'https://github.com/guywiz/PyTulip/'
abstract: >-
Concerning the multivariate multigraph reduction
algorithm: The algorithm processes a multivariate
multigraph (MMG), that is a graph with multiple weighted
edges, where nodes and edges of various types (weights
typically depend on types). Assume some nodes are of type
"PERSON". The algorithm outputs a weighted social network
between persons of the MMG. Although non-deterministic,
the social network it computes is unique. The computation
of weights is historicized: edges of the social network
hold an arithmetic expression computed along the reduction
of the MMG, allowing to recompute weights on-the-fly
(varying weights associated to types in the MMG).
keywords:
- >-
Multivariate multigraph, graph reduction, graph
rewriting, social network
GitHub Events
Total
- Push event: 3
Last Year
- Push event: 3
Dependencies
Algorithms/BrokerScore/poetry.lock
pypi
- igraph 0.10.0
- leidenalg 0.10.0
- networkx 3.2.1
- numpy 1.26.3
- pandas 2.1.4
- python-dateutil 2.8.2
- pytz 2023.3.post1
- six 1.16.0
- texttable 1.7.0
- tulip-python 5.7.2
- tzdata 2023.4
Algorithms/BrokerScore/pyproject.toml
pypi
- pandas ^2.1 develop
- igraph 0.10
- leidenalg 0.10
- networkx ^3.2.1
- numpy ^1.26
- python ^3.10
- tulip-python 5.7.2
Algorithms/BrokerScore/requirements.txt
pypi
- igraph ==0.10.8
- leidenalg ==0.10.1
- networkx ==3.2.1
- numpy *
- pandas *
- tulip-python ==5.7.2
Algorithms/Participation_Coefficient/poetry.lock
pypi
- igraph 0.10.0
- leidenalg 0.10.0
- networkx 3.2.1
- texttable 1.7.0
- tulip-python 5.7.2
Algorithms/Participation_Coefficient/pyproject.toml
pypi
- igraph 0.10
- leidenalg 0.10
- networkx ^3.2.1
- python ^3.10
- tulip-python 5.7.2