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
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
Geolocated Twitter data
• 5 months of data
• Continental part of Spain
• 146 million of tweets
City Flows Graph
City Flows Graph
The Gravity Model
High correlation between observed flows and the model and low MAE
The Gravity Model
Are model failures just statistical fluctuations or...?
The Gravity Model Everything seems nice but...
Are model failures just statistical fluctuations or...?
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