Nature paper describes technique for extracting hierarchical structure of networks

In a May 1 Nature paper, “Hierarchical structure and the prediction of missing links in networks,” Santa Fe Institute (SFI) researchers Aaron Clauset, Cristopher Moore, and Mark Newman show that many real-world networks can be understood as a hierarchy of modules, where nodes cluster together to form modules, which themselves cluster into larger modules -- arrangements similar to the organization of sports players into teams, teams into conferences, and conferences into leagues, for example.

Structure and Strangeness blog

Microformats and JSON

I maintain a Firefox extension called Firegoose that (among other things) works with data embedded in HTML pages. We do this using microformats, embedded XML, and even, if we have to, nasty screen scraping. I'm not too religious about the format of the data - just give me something I can parse.

So, it occurred to me to wonder why JSON wasn't more popular in this niche. Easily parsable, legal in a browser, scriptable from within the page - why not? Of course people are, as usual, miles ahead of me here:

• http://microformats.org/wiki/json
• http://microjson.org/
• http://www.ibm.com/developerworks/xml/library/x-matters46/

Strangely, activity around this topic seems to have surfaced briefly and disappeared sometime in mid 2007.

More visualization stuff

Ben Fry's Visualizing Data Here's an article about Processing and a cool book: Flash Math Creativity: Second Edition

Blog "LivingCode" w/ some Processing related stuff.

IBM's Visual Communication Lab

John Resig's processing.js

Nodebox: a graphics framework for Python on OS X.

Lisperati

I think this is cool. It's definitely bizarre.
There are funny tutorials for Haskell and Lisp.

Information Visualization

I went to a cool talk (video should eventually be available) at UW by Jeffery Heer, developer of the prefuse visualization toolkit, at Berkeley's Visualization Lab.

His Flare toolkit, a flash-based follow-on to prefuse, also seems to validate my desire to ditch Java for this sort of thing and move to Adobe's platform (flash/flex/AIR).

Mentioned during the talk were: GapMinder, ManyEyes

A related class at Berkeley on infoviz. I suppose, if I get interested in this stuff, I ought to read those Tufte books.

What Google should do

Since nobody asked me, let me tell you. Google needs another revenue stream. Advertising is a cyclical business, headed straight down just at the moment. And commoditized online advertising probably isn't a big enough business to sustain an operation the size of Google in the manner to which they've become accustomed. 

But when you're as big as Google, what businesses are worth getting into?

Micropayments

How much does VISA take in per year? I dunno, but I'm pretty sure if you want a money fountain to finance an altruistic geek nirvana, that's the kind of revenue stream you want.

Where support by advertising is a poor fit you need a way to keep the lights on. Charity and community spirit work for some efforts, but some things require the luster of cold hard (micro) cash. For the information economy to become a reality, this is a requirement. Many others have tried and failed, but if anyone can make micropayments work, it would be Google.

Medical records

There's a mint to be made data mining the nation's (or world's) medical records. Just collect the data and lease it back to the pharmas, biotechs, and academic researchers. The big roadblocks, which Google might have enough good will to overcome, are (justifiable) privacy concerns and the pathological motives of vested interests in the field.

Ok, I guess the GOOG is way ahead of me on both of these...

Lecture videos online

You can become a scholar these days just by sitting in front of your computer watching video lectures.

• Structure and Interpretation of Computer Programs: Videos of Abelson and Sussman's classic lectures
• Donald Knuth lectures online
• ResearchChannel
• Ars Digita University
• UW's Professional Master's Program in Computer Science lecture videos.

A blog called FreeScienceOnline has a better course catalog than most universities.

• UC Berkeley's youtube collection
• MIT's public events videos and Open Courseware
• Videolectures.net lots of computer science, machine learning, and bioinformatics
• SE-Radio Software Engineering Radio - the podcast for professional developers
• parleys.com geek oriented video lectures

Updates

• IEEE new media
• Hidden Video Courses in Math, Science, and Engineering from the data wrangling blog
• Must-see TED talks
• A Brief History of Mathematics
• MIT's Calculus Revisited

A couple discussions about computer science lecture videos on stack exchange.

More Updates

Life-hacker has a post on how to Get a free college education online.