I have it as a SQLite database on my machine. The full database is too big to upload to GitHub, but I'll see if the table with the edges can be made into a small enough JSON file to be uploaded.
I have tried some graph analysis using my own graph analytics framework: Gunrock (http://gunrock.github.io/gunrock/). The PageRank is pretty similar (the first three are DoctorWho, StarWars, and EVA.) My colleague and I are interested in doing more analysis on this site. We are trying to build a crawler and maybe using bipartite graph to build some kind of recommendation system. All inspired by your project here. Stay tuned :-)
Thanks, this is exactly the kind of thing I hope to happen when I post on HN. I have the crawler I used at https://github.com/jsnider3/QuisCustodiet/blob/master/crawle..., but it needs some post-processing at the end to filter out links that redirect and pages that aren't works of pop culture.