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I'm a tinkerer with technology, and occasionally strike lucky with it. I co-chair the O'Reilly Open Source Convention and I'm in charge of designing O'Reilly's conference software platform, Expectnation.
I've written a few computer books, most recently "Learning Rails", in collaboration with my old friend and co-conspirator Simon St.Laurent.
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Data Pointed is the home of artist and scientist Stephen Von Worley's data visualization research; a journal of interesting information imagery and news from around the world; and a place where you can spend a few minutes, have a laugh or two, and discover something new. Learn more!
As a proof-of-concept we've1 been studying the mood2 of all of the public tweets. While there are many services that will allow you to study the mood of your own tweets (and also an neat little DIY project to show you the global average of twitter), much less effort has gone into studying how the mood breaks down according to geography. Below, I show a brand new video displaying the pulsating 24-hour twitter mood cycle of the United States (I'll explain just what you're looking at, in the following).
This is a wonderful piece of work, posted on the Complexity and Social Networks Blog, showing an analysis of how happy the US is over a day. There's something about the swelling angry red that is very evocative of the grumpy unhappiness, and the fat bulges of happy green in California and Florida demonstrating their peaceful contentment.
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