Twitter Research Mashup and Visualization

by Scott Hoffman on August 18, 2009

Earlier this month Pear Analytics, a research company, published a report where they took 2,000 tweets from the public timeline (in English and in the US) over a 2-week period and put them into six different categories. Two days later Information is Beautiful published a great visualization of that data. It was too good not to publish on Cliqology.

The most interesting fact for me is the number of active users vs. the content production ratio, (“5 loud mouths creating 75% of the content) on Twitter. This is roughly the same ratio of users to content production that we have seen with many of the other blogging and self publication platforms.

Hat Tip to both Pear Analytics & David McCandless, the man behind Information is Beautiful.

twitter2_550

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  • http://twitter.com/pearanalytics Ryan Kelly

    Thanks for posting this, Scott! I was humbled by Dave's rendition of our data.

  • http://twitter.com/pearanalytics Ryan Kelly

    Thanks for posting this, Scott! I was humbled by Dave's rendition of our data.

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