![]() ![]() Moreover, the emergence of new geo-located Information and Communications Technology (ICT) services like Twitter and Foursquare introduces further opportunities for researchers to inspect quantitatively different aspects of human behaviour such as the social well-being of individuals and communities 19, socio-economic status of geographical regions 20, and people's mobility 21. ![]() 18 for a comprehensive review of recent advances in studies using mobile phone datasets). The availability of these data is indeed defining a novel area of research that exploits CDRs to extract human mobility patterns 1– 5 and social interactions 6, 7, estimates population densities 8, 9, models cities structures 10, predicts socio-economic indicators and outcomes of territories 11– 13, and models the spread of diseases 10, 14– 17 (See Blondel et al. The Call Detail Records (CDRs) of the 6.8 billion mobile phone subscribers worldwide (, date of access ) potentially represent the most invaluable proxy for people's communication and mobility habits at a global scale. The almost universal adoption of mobile phones and the exponential increase in the use of Internet services is generating an enormous amount of data that can be used to provide new fundamental and quantitative insights on socio-technical systems.
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