With increasing urbanization and migration flows, understanding the phenomenon of social segregation in cities, is an urgent challenge. Traditional approaches to study segregation are based on a static analysis of where people reside. However, citizens spend most of their time outside their home, each one exploring and living in the city in a different way. Can we use geo-located data collected from social networks, coupled with urban measures of house price, access to transportation and so on, to understand the dynamics and possible causes of social segregation?
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