Hacker News Reader

I have used SNAP because it implements a role extraction algorithm for graphs. But in my experience networkx, python-igraph and graph-tool are nicer libraries to use for manipulating graphs and performing network analysis. Networkx is perhaps the most Pythonic, but it's also the slowest.

https://networkx.github.io/ http://igraph.org/python/ https://graph-tool.skewed.de/

Well, I didn't know about the project, and now I do. Looks really promising, too.

EDIT: except, looks like they don't support python 3 yet. That's a dealbreaker, unfortunately. All my code is in python 3.6.

I don't care about a bunch of Python 2 research-quality code. The amazing part of the project, to me, is all the data that they make available in one place.

Another great source of network data: https://icon.colorado.edu/#!/

If you are interested in data, maybe KONECT (http://konect.uni-koblenz.de) is also for you. Or try the benchmarks from Dortmund University (https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneld...).

It's even older than that. I remember it from back in grad school (ca. 2009) when Facebook and social networks in general were hot subjects in academia.