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The color flooding visualization is very nice!
When I see mbostock's work it reminds me of what I love about computer science and why I keep trying to learn more. Lovely stuff.
Bostock does it again. So awesome and detailed. Great work Mike.
These random walks resemble voltage arcs.
> Initially, the algorithm can be frustratingly slow to watch

By "frustratingly slow", what are we talking about? It's been running for over an hour with no progress and my computer at work automatically reboots over the weekend. How long do I need to keep this tab open?

It finished in about 2 minutes for me, so you probably have a rendering issue. I'm on Chrome stable for Mac...
It depends on whether a the algorithm can generate a sufficiently large path (the white line) at first, since further development requires the purple path intersect that fixed path.
Finally finished. Question: I see I can inspect the canvas element and even edit the code. How do I run it with my edits (without pushing it to a server?)
The way bl.ocks.org works is pretty cool. Here's what you should do:

1) Go to the Gist that this bl.ock refers to: https://gist.github.com/mbostock/11357811

2) Fork that Gist and make your changes.

3) Go to bl.ocks.org/niels_olson/11357811 to see the finished product.

bl.ocks just displays whatever Gists you have up on GitHub, so you don't have to make an account or anything.

Refresh your browser. I've had some that look like it'll take hours to complete and others than complete in 30 seconds.
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The "Wilson" of the title is David Bruce Wilson (http://dbwilson.com), an accomplished mathematical probabilist, who may be familiar as a developer of perfect sampling ("Propp-Wilson") for Markov chain Monte Carlo computations.
Mike Bostock just showed this work last Wednesday at Eyeo Festival. It was a pure work of art.

The video of his talk will be posted next month to their Vimeo channel [1]; worth watching when it comes out.

[1] http://vimeo.com/eyeofestival