The Fidg't Visualizer allows you to play around with your network. You interface with the Visualizer through Flickr and LastFM tags, using any tag to create a Magnet. Once a Tag Magnet is created, members of the network will gravitate towards it if they have photos or music with that same Tag.

This simple mechanic lets you visualize your Network in a unique way, demonstrating its Predisposition towards certain things. What is more popular amongst people in your Network - rock or electronic music? Are photos of buildings more popular than photos of sunsets? Based on how your network reacts to those Tags, you might get an answer. The Visualizer also shows how your Network compares to a random sampling of the networks of other Fidg't users, letting you see how your network stacks up to others?

For good measure, you can also search through the network for certain users, and check out their recent photos and music. This visualizer is just one example of some of the cool Address Book applications you could build on top of our web services. For a more detailed guide, check the wiki.

The Fidg't Visualizer is in an alpha release. If you experience any problems, please give us a shout. There may be issues loading the network in the OS X version, although it works on a number of the macs we've tested with.

Windows users might need to download Java, which can be done here.

*You can download and play with the Fidg't Visualizer even if you haven't created a Fidg't account. Just download and load the program. Once it loads, you can enter a lastFM or Flickr account name and we'll pull your network into the system.

Visualizer News

5.4.07 Version 0.6 of the Visualizer is available. There are still some bugs, but it's mostly there, so give it a shot. Major enhancements for this build include incrementally loading discrete networks, rather than loading a bunch of networking data at the same time. This dramatically lowers loading times, which is great.

2.18.07 After a few revisions, the Visualizer is about ready for an official release. You can download it from the visualizer page.