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Scipediacontent moved page Draft Content 637854071 to 238,295pj

Scipediacontent: Created page with " == Abstract == The goal of the present thematic series is to showcase some of the most relevant contributions submitted to the ‘Telecom Italia Big Data Challenge 2014’ a..."

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Created page with " == Abstract == The goal of the present thematic series is to showcase some of the most relevant contributions submitted to the ‘Telecom Italia Big Data Challenge 2014’ a..."

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== Abstract ==

The goal of the present thematic series is to showcase some of the most relevant contributions submitted to the ‘Telecom Italia Big Data Challenge 2014’ and to provide a discussion venue about recent advances in the appplication of mobile phone and social media data to the study of individual and collective behaviors. Particular attention is devoted to data-driven studies aimed at understanding city dynamics. These studies include: modeling individual and collective traffic patterns and automatically identifying areas with traffic congestion, creating high-resolution population estimates for Milan inhabitants, clustering urban dynamics of migrants and visitors traveling to a city for business or tourism, and investigating the relationship between urban communication and urban happiness.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_637854071-beopen1426-8451-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1140/epjds/s13688-015-0050-4 http://dx.doi.org/10.1140/epjds/s13688-015-0050-4] under the license http://creativecommons.org/licenses/by/4.0

* [https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-015-0050-4 https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-015-0050-4]

* [http://hdl.handle.net/1721.1/103285 http://hdl.handle.net/1721.1/103285],
: [https://orcid.org/0000-0002-8053-9983 https://orcid.org/0000-0002-8053-9983] under the license cc-by

* [http://link.springer.com/content/pdf/10.1140/epjds/s13688-015-0050-4.pdf http://link.springer.com/content/pdf/10.1140/epjds/s13688-015-0050-4.pdf],
: [http://link.springer.com/article/10.1140/epjds/s13688-015-0050-4/fulltext.html http://link.springer.com/article/10.1140/epjds/s13688-015-0050-4/fulltext.html],
: [http://link.springer.com/content/pdf/10.1140/epjds/s13688-015-0050-4 http://link.springer.com/content/pdf/10.1140/epjds/s13688-015-0050-4],
: [http://dx.doi.org/10.1140/epjds/s13688-015-0050-4 http://dx.doi.org/10.1140/epjds/s13688-015-0050-4] under the license http://creativecommons.org/licenses/by/4.0/

* [https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-015-0050-4 https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-015-0050-4],
: [https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-015-0050-4 https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-015-0050-4],
: [https://link.springer.com/article/10.1140/epjds/s13688-015-0050-4 https://link.springer.com/article/10.1140/epjds/s13688-015-0050-4],
: [https://core.ac.uk/display/81740291 https://core.ac.uk/display/81740291],
: [http://www.epjdatascience.com/content/4/1/16 http://www.epjdatascience.com/content/4/1/16],
: [https://doi.org/10.1140/epjds/s13688-015-0050-4 https://doi.org/10.1140/epjds/s13688-015-0050-4],
: [http://doi.org/10.1140/epjds/s13688-015-0050-4 http://doi.org/10.1140/epjds/s13688-015-0050-4],
: [https://epjds.epj.org/articles/epjdata/abs/2015/01/13688_2015_Article_50/13688_2015_Article_50.html https://epjds.epj.org/articles/epjdata/abs/2015/01/13688_2015_Article_50/13688_2015_Article_50.html],
: [https://dblp.uni-trier.de/db/journals/epjds/epjds4.html#LepriAPP15 https://dblp.uni-trier.de/db/journals/epjds/epjds4.html#LepriAPP15],
: [https://paperity.org/p/74187265/making-big-data-work-smart-sustainable-and-safe-cities https://paperity.org/p/74187265/making-big-data-work-smart-sustainable-and-safe-cities],
: [https://link.springer.com/content/pdf/10.1140%2Fepjds%2Fs13688-015-0050-4.pdf https://link.springer.com/content/pdf/10.1140%2Fepjds%2Fs13688-015-0050-4.pdf],
: [https://academic.microsoft.com/#/detail/2107414416 https://academic.microsoft.com/#/detail/2107414416] under the license http://creativecommons.org/licenses/by/4.0

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Scipediacontent: Scipediacontent moved page Draft Content 637854071 to 238,295pj

Scipediacontent: Created page with " == Abstract == The goal of the present thematic series is to showcase some of the most relevant contributions submitted to the ‘Telecom Italia Big Data Challenge 2014’ a..."