by The Physics arXiv Blog
The Twittersphere is a remarkable lens through which to examine the activities of humankind. Indeed, there is intense interest in studying the way information flows through the Twitter network. Various groups have looked at how they can use this information to measure and even predict public opinion about everything from movies to the stock market. But all this work shares a common problem: the sheer volume of data that Twitter generates. It’s simply not possible to follow what everybody is doing all the time. Today, Manuel Garcia-Herranz at the Autonomous University of Madrid in Spain and a few pals say there’s a better way to track the spread of information on Twitter that is much more powerful.
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