01594nas a2200169   4500008004100000245007800041210006900119260001200188300000700200490000600207520108600213100002201299700002201321700001801343700002301361856004001384       2017                        eng d00aDiscovering and Understanding City Events with Big Data: The Case of Rome0 aDiscovering and Understanding City Events with Big Data The Case  c06/2017  a740 v83 aThe increasing availability of large amounts of data and digital footprints has given rise
to ambitious research challenges in many fields, which spans from medical research, financial and
commercial world, to people and environmental monitoring. Whereas traditional data sources and
census fail in capturing actual and up-to-date behaviors, Big Data integrate the missing knowledge
providing useful and hidden information to analysts and decision makers. With this paper, we focus
on the identification of city events by analyzing mobile phone data (Call Detail Record), and we study
and evaluate the impact of these events over the typical city dynamics. We present an analytical
process able to discover, understand and characterize city events from Call Detail Record, designing
a distributed computation to implement Sociometer, that is a profiling tool to categorize phone users.
The methodology provides an useful tool for city mobility manager to manage the events and taking
future decisions on specific classes of users, i.e., residents, commuters and tourists.1 aFurletti, Barbara1 aTrasarti, Roberto1 aCintia, Paolo1 aGabrielli, Lorenzo  uhttps://doi.org/10.3390/info8030074