In this age of constant advertisement and brand placement, trending topics on Twitter have become a great free way for advertisers to get their message in front of more potential customers. The only problem is that no one can predict what will be come a trending topic, at least until now. A professor at M.I.T. in conjunction with one of his students, developed an algorithm that they claim will be 95% accurate in predicting those trending topics as much four to five hours before they are trending.
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At the Interdisciplinary Workshop on Information and Decision in Social Networks at MIT in November, Associate Professor Devavrat Shah and his student, Stanislav Nikolov, will present a new algorithm that can, with 95 percent accuracy, predict which topics will trend an average of an hour and a half before Twitter’s algorithm puts them on the list — and sometimes as much as four or five hours before.