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Twitter is now the third most popular social network, behind Facebook and MySpace ( Compete, 2009 ). A year ago, it has over a million users and 200,000 active monthly users sending over 3 million updates per day ( TechCrunch, 2008 ). Those figures have almost certainly increased since then. With the torrential streams of Twitter updates (or tweets), there's an emerging demand to sieve signals from noises and harvest useful information. Enter Twitter Analytics, Twitter Analysis, or simply just Analytwits (in the tradition of Twitter slang) . These analytics tools are growing in numbers; even Twitter is developing them .