Nov 2014 Social media fingerprints of unemployment Alejandro Llorente1,2, Manuel Garc´ ıa-Herranz3, Manuel Cebrian4,5, Esteban Moro 1,2* Abstract Recent wide-spread adoption of electronic and pervasive technologies has enabled the study of human behavior at...
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Nov 2014 Social media fingerprints of unemployment Alejandro Llorente1,2, Manuel Garc´ ıa-Herranz3, Manuel Cebrian4,5, Esteban Moro 1,2* Abstract Recent wide-spread adoption of electronic and pervasive technologies has enabled the study of human behavior at an unprecedented level, uncovering universal patterns underlying human activity, mobility, and inter-personal communication. In the present work, we investigate whether deviations from these universal patterns may reveal information about the socio-economical status of geographical regions. We quantify the extent to which deviations in diurnal rhythm, mobility patterns, and communication styles across regions relate to their unemployment incidence. For this we examine a country-scale publicly articulated social media dataset, where we quantify individual behavioral features from over 145 million geo-located messages distributed among more than 340 different Spanish economic regions, inferred by computing communities of cohesive mobili
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