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.

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https://orcid.org/0000-0002-8053-9983 under the license cc-by
http://link.springer.com/article/10.1140/epjds/s13688-015-0050-4/fulltext.html,
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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,
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https://link.springer.com/content/pdf/10.1140%2Fepjds%2Fs13688-015-0050-4.pdf,
https://academic.microsoft.com/#/detail/2107414416 under the license http://creativecommons.org/licenses/by/4.0
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Published on 01/01/2015

Volume 2015, 2015
DOI: 10.1140/epjds/s13688-015-0050-4
Licence: Other

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