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 Editio

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-Social-Web-2nd-Edition/blob/master/ipynb/Chapter%207%20-%20Mining%20GitHub.ipynb http://nbviewer.ipython.org/github/ptwobrussell/Mining-the-S...