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.
absolutelly. Everything is up and running on Algorithmia inclduing some graphing algorithms - would love to collaborate on such exploration if you are interested. diego (at) algorithmia.com
[1] http://nbviewer.ipython.org/github/ptwobrussell/Mining-the-S...