01393nas a2200169   4500008004100000245005700041210005700098260002000155520084000175100002201015700002301037700002201060700002201082700002101104700002201125856007601147       2015                        eng d00aDetecting and understanding big events in big cities0 aDetecting and understanding big events in big cities  aBostonc04/20153 aRecent studies have shown the great potential of big data such as mobile phone location data to model human behavior. Big data allow to analyze people presence in a territory in a fast and effective way with respect to the classical surveys (diaries or questionnaires). One of the drawbacks of these collection systems is incompleteness of the users' traces; people are localized only when they are using their phones. In this work we define a data mining method for identifying people presence and understanding the impact of big events in big cities. We exploit the ability of the Sociometer for classifying mobile phone users in mobility categories through their presence profile. The experiment in cooperation with Orange Telecom has been conduced in Paris during the event F^ete de la Musique using a
privacy preserving protocol.1 aFurletti, Barbara1 aGabrielli, Lorenzo1 aTrasarti, Roberto1 aSmoreda, Zbigniew1 aVanhoof, Maarten1 aZiemlicki, Cezary  uhttp://www.netmob.org/assets/img/netmob15_book_of_abstracts_posters.pdf