Based on Launchpad traffic and mailing list responses, Gabor and Tamas will soon be releasing igraph 0.6. In celebration, I’ll be publishing a number of helpful lists and tables I’ve put together to organize information about igraph. In this post, we’ll cover the community detection algorithms (~i.e., clustering, partitioning, segmenting) available in 0.6
While Tsipras and his Syriza coalition have been busy in Greek parliament, the Internet has been a-buzz with speculation that their platform will result in a Greek exit from the Euro currency. This prospect, affectionately dubbed "Grexit" by Citi in February, has been making the rounds on Twitter under the hashtag #grexit. We think the
igraph is my preferred library for graph manipulation. The core library is written in C and is easy to extend, there are bindings to Python and R, and Gabor and Tamas are really nice and helpful guys. That said, I've always noticed that one stumbling block for users has been building the Python bindings with
I've been busy lately with my new day job and wedding planning , but Dan and I still managed to meet two big goals in the past week. First, we've finalized a stable version of the Electronic World Treaty Index. This is a big deal in the world of international relations and international law,
Two weeks ago, I posted a pair of very rough working papers. The second of these, Exploring Relationships between Legal Concepts in the United States Supreme Court, opens up a number of interesting "historical data mining" techniques. I thought I'd go over an example of this today to demonstrate the usefulness of the approach. First,
Out of all the visuals I’ve produced, I think the "coolest" is the three-dimensional U.S. Supreme Court citation network 1080p movie I produced with Dan Katz (close friend, coauthor, and newly minted law professor!). 3D networks, especially dynamic ones, really invoke the "wow" factor. Movies are especially important in dynamic cases too, since without the animation,
