Detecting and understanding big events in big cities

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TitleDetecting and understanding big events in big cities
Publication TypeConference Paper
Year of Publication2015
AuthorsFurletti, B, Gabbrielli, M, Trasarti, R, Smoreda, Z, Vanhoof, M, Ziemlicki, C
Refereed DesignationDoes Not Apply
Conference NameNetMob
Date Published04/2015
Conference LocationBoston
AbstractRecent 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.
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