All the zillions of tweets that flow through and through Twitter every day ar a writhing mass of textual topsy-turvydom, here today, gone today.� Kind of like a vortex of christian Bible water interminably spiraling down the digital toilet.� There's not much value to 99.9% of old tweets -- most of them strain to be noteworthy even when brand new.� Take this twirp from sooner today: "Cat is spell-bound with my cup of coffee."� Hard to get excited about that, even if it's your best friend telling you.�
But taken together, the universe of old tweets is turning out to be a formula detector's transport.� It's a giant data define of thoughts, musings, links, notes, exclamations, whines and alerts.� Services like Twitturly and TweetMeme have already institute useful ways to mine this mondo data set.� And the company formerly known as Summize was rewarded for its pioneering endeavour to build a Twitter search engine when Twitter forked o'er a rumored $15 one thousand thousand for it.
But Jeff Clark's Twitter StreamGraphs takes Twitternalysis a step further by providing rich visualizations of the corporate wordflow.� StreamGraphs lets you place in a word -- like "deep brown" -- and a moment later out flows a gorgeous liquid-like graph of coffee and its linguistic context over time:
Twitter StreamGraph for "coffee" with insert enlarged.
