This post highlights that there are indeed some significant untapped opportunities in mining GitHub user and repository data. As I was working on the 2nd Edition of Mining the Social Web last year, I observed the very same thing and introduced an entire chapter that models GitHub as a interest graph. (Think: users are interested in projects and programming languages by extension.) The IPython Notebook with all of the sample code is available with all of the other source [1] but really just begins to scratch the surface with some rudimentary centrality techniques. Like any other interest graph, the possibilities are fairly endless.

[1] http://nbviewer.ipython.org/github/ptwobrussell/Mining-the-S...