An intriguing open question is whether measurements made on Big Data recording human activities can yield us high fidelity proxies of  our society. Can we use Big data to create demographic studies on the territory with high frequency and high reliability? Can we monitor the big events of a territory just by observing the behavior of its inhabitants through the lens of Big Data?

Our analytical framework is so organized, first it is shown how to measure the presence and mobility of individuals in the territory by the use of the mobile phone data. Second, I will present how use those sources of  data, to provide a valuable indication of the presence of people during big events within the city.

The Sociometer, is an analytical framework aimed at classifying mobile phone users into behavioral categories by means of their call habits. The analytical process starts from spatio-temporal profiles, learns the different behaviors, and returns annotated profiles. The Sociometer can be used for studying city users of one small and one big city, evaluating the impact of big events in these cities.