A methodology that mines 14 AI pattern classes from 44 sources and applies active learning to estimate prevalence of the most common class in 100 GitHub AI repositories, reporting 56% accuracy and 55% recall on an 8-way task.
Gen- eralized Louvain method for community detection in large networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Cross-boundary collaboration in open source is sustained by a thin carrier layer of contributors and repeat relationships that increase pull request acceptance rates from 42% to 87%.
citing papers explorer
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A Methodology for Investigating AI Patterns Prevalence in Software Repositories
A methodology that mines 14 AI pattern classes from 44 sources and applies active learning to estimate prevalence of the most common class in 100 GitHub AI repositories, reporting 56% accuracy and 55% recall on an 8-way task.
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Building Digital Societies as Ecosystems: How Recognition and Repeat Relationships Sustain Cross-Community Work in Open Source
Cross-boundary collaboration in open source is sustained by a thin carrier layer of contributors and repeat relationships that increase pull request acceptance rates from 42% to 87%.