Exposing non-geographical aspects of mobility using location-based social networks

1. Exposing non-geographical aspects of mobility using location-based social networks Alejandro Llorente Pinto, Instituto de Ingeniería del Conocimiento Manuel Cebrián, NICTA Manuel García-Herranz, Universidad Autónoma de Madrid Esteban Moro, Universidad Carlos III de Madrid Urban Beers, Barcelona, 2013

2. Geolocated Twitter data • 5 months of data • Continental part of Spain • 146 million of tweets

3. City Flows Graph

4. City Flows Graph

5. The Gravity Model High correlation between observed ﬂows and the model and low MAE

6. The Gravity Model Are model failures just statistical ﬂuctuations or...?

7. The Gravity Model Everything seems nice but... Are model failures just statistical ﬂuctuations or...?

8. Thank you very much! Urban Beers, Barcelona, 2013 Alejandro Llorente Pinto, Instituto de Ingeniería del Conocimiento Manuel Cebrián, NICTA Manuel García-Herranz, Universidad Autónoma de Madrid Esteban Moro, Universidad Carlos III de Madrid

Exposing non-geographical aspects of mobility using location-based social networks

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Exposing non-geographical aspects of mobility using location-based social networks