Digg+-+Data+Visualization+Models

Digg - Data Visualization Models
[] The website Digg.com started out as a web experiment in 2004. The concept behind Digg was to create a community-based website that would index interesting links and articles based on popularity. While it does have an emphasis on technology it is recently expanding to a much wide range of categories such as Politics and Entertainment. News stories are submitted by users and are then promoted to the front page through an ongoing tally of votes on each article. Developed by Kevin Rose, Owen Byrne, Ron Gorodetzky, and Jay Adelson, Digg.com is now within the Alexia top 100 websites viewed daily across the globe.

The concept of democratizing editorial control is what makes Digg so interesting to its user base, anyone and everyone can have a say on what is and is less important. Digg labs have also developed a series of visualization models allowing users to explore content in new and far more interactive ways. Rather showing the popularity of an article plainly through a numeral statistic, these visualization models allow us to see in real time using shape and color to popularity and connections between articles. We would like to use a similar visualization to display not only articles on our website but also activity occuring in our marketplace.