Geo-located Twitter as proxy for global mobility patterns
作者： Bartosz Hawelka , Izabela Sitko , Euro Beinat , Stanislav Sobolevsky , Pavlos Kazakopoulos
DOI: 10.1080/15230406.2014.890072
关键词: Global mobility 、 Global tourism 、 International mobility 、 Mobility model 、 Cartography 、 Geography 、 Economic geography 、 Proxy (climate) 、 Destinations 、 Residence
摘要: Pervasive presence of location-sharing services made it possible for researchers to gain an unprecedented access the direct records human activity in space and time. This article analyses geo-located Twitter messages order uncover global patterns mobility. Based on a dataset almost billion tweets recorded 2012, we estimate volume international travelers by country residence. Mobility profiles different nations were examined based such characteristics as mobility rate, radius gyration, diversity destinations, inflow–outflow balance. Temporal disclose universally valid seasons increased particular character travels nations. Our analysis community structure network reveals spatially cohesive regions that follow regional division world. We validate our result using tourism statistics models provided other authors argue is exceptionally useful understanding quantifying patterns.
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