Toby, over at kiwitobes posted a really neat visualization of the relationships between board members in corporate America. It’s quite striking to think that so few people have so much power. Nice work.

There’s an interesting visual representation of the relationships between cars and manufacturer floating around the net. I think the original source can be credited to Too Many Cars, but who knows. In any case, it’s an interesting demonstration of just how few car manufacturers there are and how everyone of them has a piece of many different brands.

Have a look.

There’s a very interesting visualization of color names over at Dolores Labs Blog. The idea is that they asked a large number of respondents (N = 237) to give names to various colors (10,000 in all). They then mapped those names to a color wheel and got what you see above.

It’s an interesting use of user-generated data to facilitate understanding. By surveying “real people,” the responses are not based on any kind of normative assumptions about color names, but rather on what people actually use to describe them. I did something similar with emotional valence for words for my own research…maybe I’ll blog about that some day.

In any case, check out the full post (including the data) over at Dolores Labs Blog.

And make sure you check out the color label explorer which lets you browse for different words.

I finally got Many Eyes to work and I uploaded the classical composer data to the site. I won’t embed the visualization here since it will slow down load times by far too much, but feel free to head over to the Many Eyes site and take a look.

[Interactive Visualization Here]

I can’t say I’m a huge fan of this visualization as it really doesn’t help understand the data all that much. The one I put together using Tulip employed a hierarchical visualization algorithm which really let you see how influence passed on from composer to composer. Here, all you see is that there are a lot of connections.

As great as the interactivity is, until IBM adds some more functionality to their relationship visualizations, I’ll stick with Tulip.

The folks over at SocialMediaTrader put together a great visualization of the StumbleUpon friends network. They did something similar to what I did with my Last.fm visualization, but because they used IBM’s Many Eyes, the visualization is interactive! I’ve never heard of this software, but now definitely plan on playing with it.

From the looks of it, the interactivity is fantastic, but the visualization formatting is quite limited. I’m excited to see what I can come up with!