title: 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 analyse centrality measures at different scales. New York and London play a central role on the global scale, while urban rankings suffer substantial changes if the focus is set at a regional level.
authors.affiliation: Instituto de Física Interdisciplinary Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122 Palma de Mallorca, Spain maxime@ifisc.uib-csic.es.
authors.forename: Maxime
authors.initials: M
authors.lastname: Lenormand
authors.affiliation: Aix Marseille Université, Université de Toulon, CNRS, CPT, UMR 7332, Marseille 13288, France.
authors.forename: Bruno
authors.initials: B
authors.lastname: Gonçalves
authors.affiliation: Instituto de Física Interdisciplinary Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122 Palma de Mallorca, Spain.
authors.forename: Antònia
authors.initials: A
authors.lastname: Tugores
authors.affiliation: Instituto de Física Interdisciplinary Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122 Palma de Mallorca, Spain.
authors.forename: José J
authors.initials: JJ
authors.lastname: Ramasco
mesh_terms: D006801:Humans; D008962:Models, Theoretical; D014505:Urban Population; D014506:Urban Renewal
keywords: city–city interaction; epidemiology; geolocated data; human mobility; networks