How can we mine the socio-technical activities of an open-source platform like GitHub? Specifically, how can we (a) identify repositories of interest, (b) study a community of interest at scale, and (c) connect users of interest beyond the platform’s boundaries? GitHub is the largest public software-hosting platform, with over 180 million developers and 630 million repositories as of 2025, yet the research community still lacks general-purpose capabilities to navigate its socio-technical surface end-to-end. The public surface of GitHub exposes far more actionable information than its native search and APIs reach, but extracting it requires methods that scale to the platform. This thesis spans three interrelated problems.
First, we propose RepoScope, a multi-granularity query-by-example framework for GitHub repository search. RepoScope introduces three pre-crawled levels of granularity (292M repositories with minimal metadata, 1.46M with full metadata, and 50.5K with metadata...
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