Digg Story Graph is an interactive visualization that shows the relationships between recent popular stories on Digg through the use of node and link diagrams. Stories can be visually connected through shared vocabulary, common topics, domain, submitter, or date submitted.
To drag a node use the right mouse button. If you don't have a right mouse button you can use the left button while holding down the CTRL key. Pressing the space bar will unfreeze any fixed nodes. Hovering over any node will stop things from moving. For story nodes if you hover near the center (the darker section) then the details for that story will appear. Keeping the mouse near the edge of any node allows you to see what is connected up to 2 levels away. You can click on all but the Date or Word nodes to visit an associated web page.
There is also a large version of the Digg Story Graph available. It requires 900x800 pixels for proper display and a decent CPU for good responsiveness. This smaller version above shows the 100 latest popular Digg stories. The larger version will show 200 and support more word nodes.
This application requires java to run and was constructed using Processing. The folks at Digg have provided an excellent api that made it quite simple to extract the data. I expect to explore some other aspects of Digg in the future. Thanks also to Jeffrey Traer Bernstein who created the excellent traer physics library that I used to construct the layouts. As always, feedback is welcome !
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