In case you missed my last post, let me refresh you on Digg…
Digg is a place for people to discover and share content from anywhere on the web. From the biggest online destinations to the most obscure blog, Digg surfaces the best stuff as voted on by our users. You won’t find editors at Digg — we’re here to provide a place where people can collectively determine the value of content and we’re changing the way people consume information online.
Last post I shared a cool visualization of Digg Labs – ARC – that displayed stories, topics, and containers wrapped around a sphere.
This time I want to share some other fantastic visualizations:
Digg Stack shows diggs occurring in real time on up to 100 stories at once. Diggers fall from above and stack up on popular stories. Brightly colored stories have more diggs.”
Digg Swarm draws a circle for stories as they’re ‘dugg’. Diggers swarm around stories, and make them grow. Brightly colored stories have more diggs.
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Category and Tags
This post filed in the following categories:
- Data Mining - Data mining is the process of extracting hidden patterns from data typically using sophisticated data search capabilities and statistical algorithms.
- Visualization - Visualization is any technique for creating images, diagrams, or animations to communicate a message.
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These are beautiful for visualizing the information they present, but there’s one big caveat. This is all real-time information. Maybe it would be useful for Digg’s own sysadmins to have this sort of information available, but for an end user it is just a pretty proof of concept. Something you could put in the waiting room of Digg headquarters.
There needs to be a deeper temporal perspective here and then it could be a useful alternative to a feed reader. What would be really cool is if you started out with a visualization of a day’s worth of posts but can “zoom in” to current activity.