How are 'bridge authors' identified?

The tool analyzes the author-repo bipartite graph to identify individuals who contribute significantly to multiple, independent projects, acting as technical bridges.

Do I need the GitHub CLI installed to use this skill?

Yes, this skill utilizes the GitHub (gh) CLI to fetch repository data and contributor information directly from the GitHub API.

Is this tool useful for open-source maintainers?

Yes, it helps maintainers understand which other projects their contributors are active in, facilitating better ecosystem alignment and cross-project collaboration.

What is a 'cobordism' in this context?

In this context, a cobordism refers to a shared boundary or a group of contributors common to two or more distinct GitHub communities, representing a bridge between different research or software fields.

Which communities can this skill analyze?

While it includes specialized insights for groups like AlgebraicJulia and Topos Institute, it can be used to analyze any set of GitHub repositories to find connections.

GitHub Interactome Mapper

Name: GitHub Interactome Mapper
Author: plurigrid

byplurigrid

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Data Science & ML

Maps contributor interaction networks across GitHub to discover shared boundaries between research and developer communities.

About

gh-interactome is a specialized tool for discovering the 'interactome'—the hidden interaction network of GitHub contributors across multiple organizations and technical domains. By mapping 'cobordisms' (shared contributors between different repositories), it identifies bridge authors who connect diverse fields like Applied Category Theory, Homotopy Type Theory, and Complex Systems. This skill is essential for researchers, open-source maintainers, and community managers who want to understand cross-pollination between technical ecosystems and identify key influencers who bridge disparate software communities.

Key Features

Community Cluster Discovery: Identifies distinct contributor groups within specialized technical domains.
Network Metric Calculation: Computes centrality to find influential bridge contributors across organizations.
Cobordism Mapping: Visualizes shared boundaries and overlapping interests between research institutions.
2 GitHub stars
Automated Data Retrieval: Uses GitHub CLI to fetch real-time contributor data and contribution counts.
Bridge Author Identification: Detects developers who contribute to multiple, seemingly separate ecosystems.

Use Cases

Analyzing open-source communities to find potential collaboration opportunities between organizations.
Scientific research mapping to track the movement of ideas and authors between academic software projects.
Identifying influential developers within specific niches like Category Theory, Type Theory, or Token Engineering.

About

Key Features

Community Cluster Discovery: Identifies distinct contributor groups within specialized technical domains.
Network Metric Calculation: Computes centrality to find influential bridge contributors across organizations.
Cobordism Mapping: Visualizes shared boundaries and overlapping interests between research institutions.
2 GitHub stars
Automated Data Retrieval: Uses GitHub CLI to fetch real-time contributor data and contribution counts.
Bridge Author Identification: Detects developers who contribute to multiple, seemingly separate ecosystems.

Use Cases

Analyzing open-source communities to find potential collaboration opportunities between organizations.
Scientific research mapping to track the movement of ideas and authors between academic software projects.
Identifying influential developers within specific niches like Category Theory, Type Theory, or Token Engineering.