New facets in TweetPivot and discovering Kryten likes fast cars too

TweetPivot is used to filter and sort Twitter friends, followers or lists from multiple angles or facets. The original set of facets included Followers Count, Klout Score, Klout Class, and Location. Recently TweetPivot added two new facets to its collections: 'Member Since' and 'Tweets Count', which allow you to visualise the spread of Twitter longevity and activity-levels, and slice and dice Twitter data using these criteria.

We have analysed the 2000+ Followers for @bloodhound_ssc (the supersonic car that aims to go 1000 mph and inspire the next generation to study STEM - science, technology,

engineering and mathematics) using Klout scores and the new facet 'Member Since'. Below is a screen-shot of the collection sorted by year of joining Twitter.

Zooming in to the 83 followers who joined Twitter in 2007, the monthly distribution can be seen:

Keeping the 2007 filter on, if we sort by Klout score, then we can see that there is a spread of klout scores, with 0-10 being most prevalent (perhaps surprising for a group who have been twittering for so long?).

Zooming in on the guy with the most klout, we see that it is bobbyllew (Robert Llewelyn), otherwise known as the android Kryten from one of my favourite TV programs Red Dwarf.

I once saw Robert Llewelyn give an after dinner speech, and I am tickled to discover that we're both fans of Bloodhound_SSC, in fact, I think I'll go join his list of followers now.

Give TweetPivot a whirl and see who you discover. Please leave a comment if there are additional facets you'd like to see in the future.