Added network analysis for Season 5

I’ve added my analysis for Season 5, which features Lord Commander Jon Snow, the Sons of the Harpy and an exiled Imp, Jaime’s princess rescue in Dorne, a power struggle between church and state, a girl that has no name in Braavos, and the most unhappy Stark marriage since the Red Wedding. Click through to find out how much things have changed since Bran the Climber scaled Winterfell towers for fun.

got-s5-network

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Edge Data for the Books on GitHub

The edge data for the books is available on GitHub. Now it’s your turn to explore!

https://github.com/mathbeveridge/asoiaf

The TV data continues to evolve. So have fun with the novels for now while I get that into shape. There are some high quality scripts on genius.com.  My thanks to Colby Handy and the fans who have contributed content so far. There are still plenty of scripts missing, if you have a knack for it!

Networks for Season 1 and Season 3

I’ve added the first two network that we constructed from the TV series (instead of the books). We started with the first season.  I admit this information is far removed from tonight’s season premiere. In fact, looking at the complete network for the books might be more satisfying today (even though it is still two seasons behind). We tackled the third season next, for sentimental reasons. That’s the first one we started with all those years ago.

So check out the Season 1 page to whet your appetite, and experience some nostalgia for the simpler times of Ned Stark. Remember when you could tell right from wrong? Yeah, me too. Here’s a preview of the top characters for the first season. No surprises.

got-s1-top-centralities

Then you can head over to Season 3 to relive some of your favorite memories: the wacky Jaime and Brienne road trip, Ygritte’s confident seduction of Jon Snow, and of course the romance of the Red Wedding. Here are the top performers in the third season. You can’t argue much with the names (okay, except for Joffrey), but you may be surprised by the ordering.

got-s3-top-centralities3

Networks for all the books!

I have added pages for each of the books, as well as a separate analysis that gathers all five volumes into one network. Check out The Novels page to explore the analysis. Here is the combined network for all five books.

got-all-network-v2

And here are the top ranked characters for the combined saga.

GoT-all-centralities-top

You can read the details in Volumes 1-5: A Song of Ice and Fire.

I have also added two supporting pages. First, A Primer on Network Science contains the basics that you need in order to ponder the analysis on this site. Second, I have added A Science of Networks, which is an expository article that I wrote for The Skeptic (UK) magazine. This gives a general audience introduction to the fundamental nature of Network Science.

I am actively working on networks for the HBO Series “Game of Thrones.” I will post those networks as I finish them. I should have some up before the new season starts.

Networks are Coming

In March 2016,  Jie Shan and I published an expository article about Network Science  in Math Horizons, a publication of the Mathematical Association of America. We used Game of Thrones as an example of a complex system that can be modeled as a network: a collection of nodes (characters), where some pairs of characters are related. These relationships are modeled with weighted edges, corresponding to the number of interactions between the characters.

Math Horizons is geared towards undergraduate math majors. We hoped to spark some interest about networks in the minds of college students. We were far more successful than we expected, and at a much grander scale. Adam Epstein wrote a charming article for the Quartz about our work. For a week or two, our network captured the attention of Game of Thrones fans worldwide.

The warm reception inspired us to expand on our analysis. I would characterize our original article as a “proof of concept.” We have revisited our work, and brought in two Macalester students (now graduates) to help out. Ari Weiland did some great coding, which greatly improved our process. Rebecca Gold contributed her super-fan insight into the series as we looked to interpret our results. This site contains a summary of our work, and some reflection on the meaning of the numbers hidden in the network.