Revista: PLOS ONE. Vol. 13. Nº 4. April 2018

Autores: Pedro J. Zufiria, David Pastor-Escuredo, Luis Úbeda-Medina, Miguel A. Hernandez-Medina, Iker Barriales-Valbuena, Alfredo J. Morales, Damien C. Jacques, Wilfred Nkwambi, M. Bamba Diop, John Quinn, Paula Hidalgo-Sanchís, Miguel Luengo-Oroz. 

We propose a framework for the systematic analysis of mobile phone data to identify relevant mobility profiles in a population. The proposed framework allows finding distinct human mobility profiles based on the digital trace of mobile phone users characterized by a Matrix of Individual Trajectories (IT-Matrix). This matrix gathers a consistent and regularized description of individual trajectories that enables multi-scale representations along time and space, which can be used to extract aggregated indicators such as a dynamic multi-scale population count. Unsupervised clustering of individual trajectories generates mobility profiles (clusters of similar individual trajectories) which characterize relevant group behaviors preserving optimal aggregation levels for detailed and privacy-secured mobility characterization.