Modelling humanmobility patterns using photographic data shared online

dc.contributor.author	Barchiesi, Daniele	en_US
dc.contributor.author	Preis, Tobias	en_US
dc.contributor.author	Bishop, Steven	en_US
dc.date.accessioned	2016-10-11T05:37:58Z
dc.date.available	2016-10-11T05:37:58Z
dc.date.issued	2015	en_US
dc.identifier.other	HPU4160540	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/23705
dc.description.abstract	Humans 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.extent	8 p.	en_US
dc.format.mimetype	application/pdf
dc.language.iso	en	en_US
dc.subject	Computer science	en_US
dc.subject	Mathematical physics	en_US
dc.subject	Environmental	en_US
dc.subject	Science	en_US
dc.subject	Complexity	en_US
dc.subject	Computational social science	en_US
dc.subject	Data science	en_US
dc.subject	Social media	en_US
dc.subject	Flickr	en_US
dc.subject	Humanmobility	en_US
dc.subject	Complex systems	en_US
dc.title	Modelling humanmobility patterns using photographic data shared online	en_US
dc.type	Article	en_US
dc.size	882KB	en_US
dc.department	Education	en_US