All of us in CUE's Visual Communication Lab are passionate about the potential of data visualization to spark insight. It is that magical moment we live for: an unwieldy, unyielding data set is transformed into an image on the screen, and suddenly the user can perceive an unexpected pattern. As visualization designers we have witnessed and experienced many of those wondrous sparks. But in recent years, we have become acutely aware that the visualizations and the sparks they generate, take on new value in a social setting. Visualization is a catalyst for discussion and collective insight about data.

We all deal with data that we'd like to understand better. It may be as straightforward as a sales spreadsheet or fantasy football stats chart, or as vague as a cluttered email inbox. But a remarkable amount of it has social meaning beyond ourselves. When we share it and discuss it, we understand it in new ways.
(Quelle)

[The] aim [of Pathway] is to help you discover Wikipedia without having to worry whether you’ll have enough time to read everything you want, or if you’ll get lost.

It accomplishes this by presenting you with a graphical “network” representation of your visited article pages. A node represents an article, a connection between two nodes means, of course, that you’ve gone from the first article to the second one. You can save the network you’ve created to disk and recover it. This way, you’re able to keep track of everything: what you’ve looked at, how you got there and just how it all fits together.

Pathway has a small but useful feature set, is easy to use and tries not to get in the way. Written in Cocoa, it offers the elegance you’d expect from a native Mac application.