System detects global trends in social networks two months in advance

Monday, April 28, 2014 - 13:21 in Mathematics & Economics

A new method of monitoring identifies what information will be relevant on social networks up to two months in advance. This may help predict social movements, consumer reactions or possible outbreaks of epidemics, according to a study. The system works using just 50,000 Twitter accounts, predicting what will "go viral" across the entire Internet. It can be used in real time, about different topics, in different languages and geographical areas, thus allowing for different contexts to be covered.

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