Unique in the Crowd: The privacy bounds of human mobility

Unique in the Crowd: The privacy bounds of human mobility

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We study fifteen months of human mobility data for one and a half million individuals and find that human mobility traces are highly unique. In fact, in a dataset where the location of an individual is specified hourly, and with a spatial resolution equal to that given by the carrier's antennas...

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Bibliographic Details
Main Authors: de Montjoye, Yves-Alexandre, Verleysen, Michel, Blondel, Vincent D., Hidalgo Ramaciotti, Cesar A.
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Format: Article
Language:en_US
Published: Nature Publishing Group 2014
Online Access:http://hdl.handle.net/1721.1/92263
https://orcid.org/0000-0002-6031-5982
https://orcid.org/0000-0001-9086-589X
https://orcid.org/0000-0003-1563-800X

Internet

http://hdl.handle.net/1721.1/92263
https://orcid.org/0000-0002-6031-5982
https://orcid.org/0000-0001-9086-589X
https://orcid.org/0000-0003-1563-800X

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