Modelling humanmobility patterns using photographic data shared online

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dc.contributor.authorBarchiesi, Danieleen_US
dc.contributor.authorPreis, Tobiasen_US
dc.contributor.authorBishop, Stevenen_US
dc.date.accessioned2016-10-11T05:37:58Z
dc.date.available2016-10-11T05:37:58Z
dc.date.issued2015en_US
dc.departmentEducationen_US
dc.description.abstractHumans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to theFlickrphoto-sharing website.en_US
dc.format.extent8 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.otherHPU4160540en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/23705
dc.language.isoenen_US
dc.size882KBen_US
dc.subjectComputer scienceen_US
dc.subjectMathematical physicsen_US
dc.subjectEnvironmentalen_US
dc.subjectScienceen_US
dc.subjectComplexityen_US
dc.subjectComputational social scienceen_US
dc.subjectData scienceen_US
dc.subjectSocial mediaen_US
dc.subjectFlickren_US
dc.subjectHumanmobilityen_US
dc.subjectComplex systemsen_US
dc.titleModelling humanmobility patterns using photographic data shared onlineen_US
dc.typeArticleen_US

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