Science Score: 59.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, sciencedirect.com -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.0%) to scientific vocabulary
Keywords from Contributors
Repository
Estimation in a mean field graph
Basic Info
- Host: GitHub
- Owner: jucheval
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://jucheval.github.io/MeanFieldGraph.jl/
- Size: 335 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 2
Metadata Files
README.md
MeanFieldGraph
A Julia package devoted to the statistical analysis of a latent (non sparse) high dimensional graphs. The data are assumed to come from a model with mean field interaction driven by the latent graph. Moreover, the model may incorporate a community structure for the nodes of the graph: one excitatory and one inhibitory community. The two objectives are: 1. The estimation of the connectivity parameter of the latent graph (which is independent of the community). 2. The detection of the two communities.
Ressources
Related articles :
- Chevallier, Löcherbach, Ost (2024) and Chevallier, Ost (2024): Discrete time data modeled via a binary Markov Chain. This model is fully covered by the package.
- Delattre, Fournier (2016) and Liu (2020) : Continuous time data modeled via a Hawkes process (Liu (2020) extends the first paper by considering partial observation). This model is not covered by the package for now, but is expected to. There is no community structure here.
Documentation : https://jucheval.github.io/MeanFieldGraph.jl/
Examples
The folder examples contains all the material used to produce the figures in Chevallier, Löcherbach, Ost (2024) (files named CLO24_*.jl, the plots may differ a little bit because the files are newer than the article) and Chevallier, Ost (2024) (files named CO24_*.jl). The files named:
- *_simulation_*.jl contain the commands to produce the data used,
- *_plot_*.jl contain the commands used to produce the plots (assuming that you have already simulated data in the folder data).
Owner
- Name: Julien Chevallier
- Login: jucheval
- Kind: user
- Website: https://membres-ljk.imag.fr/Julien.Chevallier/recherche.html
- Repositories: 1
- Profile: https://github.com/jucheval
CodeMeta (codemeta.json)
{
"@context": "https://w3id.org/codemeta/3.0",
"type": "SoftwareSourceCode",
"applicationCategory": "Statistics",
"author": [
{
"id": "https://orcid.org/0000-0002-0736-8487",
"type": "Person",
"affiliation": {
"type": "Organization",
"name": "Université Grenoble Alpes"
},
"email": "julien.chevallier1@univ-grenoble-alpes.fr",
"familyName": "Chevallier",
"givenName": "Julien"
},
{
"type": "Role",
"schema:author": "https://orcid.org/0000-0002-0736-8487",
"roleName": "Developer",
"startDate": "2024-07-01"
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],
"codeRepository": "https://github.com/jucheval/MeanFieldGraph.jl",
"dateCreated": "2024-07-01",
"dateModified": "2024-07-08",
"datePublished": "2024-07-01",
"description": "A Julia package devoted to the estimation of the connectivity parameter of a latent (non sparse) high dimensional graph. The data are assumed to come from a model with mean field interaction driven by the latent graph.",
"funder": {
"type": "Organization",
"name": "Université Grenoble Alpes"
},
"keywords": [
"mean field",
"Markov chain",
"Hawkes process"
],
"license": "https://spdx.org/licenses/MIT",
"name": "MeanFieldGraph.jl",
"programmingLanguage": "Julia",
"version": "0.1.0",
"developmentStatus": "active"
}
GitHub Events
Total
- Delete event: 1
- Issue comment event: 1
- Push event: 26
- Pull request event: 5
- Create event: 1
- Commit comment event: 2
Last Year
- Delete event: 1
- Issue comment event: 1
- Push event: 26
- Pull request event: 5
- Create event: 1
- Commit comment event: 2
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Julien Chevallier | j****1@u****r | 88 |
| dependabot[bot] | 4****] | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 1
- Total pull requests: 2
- Average time to close issues: less than a minute
- Average time to close pull requests: 2 days
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 2.0
- Average comments per pull request: 0.5
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 1
- Pull requests: 2
- Average time to close issues: less than a minute
- Average time to close pull requests: 2 days
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 2.0
- Average comments per pull request: 0.5
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- JuliaTagBot (1)
Pull Request Authors
- dependabot[bot] (3)
- jucheval (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- julia 1 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
juliahub.com: MeanFieldGraph
Estimation in a mean field graph
- Homepage: https://jucheval.github.io/MeanFieldGraph.jl/
- Documentation: https://docs.juliahub.com/General/MeanFieldGraph/stable/
- License: MIT
-
Latest release: 0.2.0
published over 1 year ago