Human diffusion and city influence

Abstract

Cities are characterized by concentrating population, economic activity and services. However, not all cities are equal and a natural hierarchy at local, regional or global scales spontaneously emerges. In this work, we introduce a method to quantify city influence using geolocated tweets to characterize human mobility. Rome and Paris appear consistently as the cities attracting most diverse visitors. The ratio between locals and non-local visitors turns out to be fundamental for a city to truly be global. Focusing only on urban residents' mobility flows, a city to city network can be constructed. This network allows us to analyze centrality measures at different scales. New York and London play a predominant role at the global scale, while urban rankings suffer substantial changes if the focus is set at a regional level.

9 pages, 7 figures + appendix

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Cited by in corpus (15)

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• Urban Pulse: Capturing the Rhythm of Cities
• Field theory for recurrent mobility
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• The Effect of Recency to Human Mobility
• Immigrant community integration in world cities
• Migrant mobility flows characterized with digital data
• Touristic site attractiveness seen through Twitter
• Multiscale socio-ecological networks in the age of information
• Discovering and Characterizing Mobility Patterns in Urban Spaces: A Study of Manhattan Taxi Data
• Temporal visitation patterns of points of interest in cities on a planetary scale: a network science and machine learning approach
• Urban Rhapsody: Large-scale exploration of urban soundscapes
• Diffusive resettlement: irreversible urban transitions in closed systems
• On the importance of trip destination for modeling individual human mobility patterns