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.
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.