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Preprint
Constructing a taxonomy of fine-grained human movement and activity motifs through social media
arXiv.org
11 May 2015
Abstract
Profiting from the emergence of web-scale social data sets, numerous recent
studies have systematically explored human mobility patterns over large
populations and large time scales. Relatively little attention, however, has
been paid to mobility and activity over smaller time-scales, such as a day.
Here, we use Twitter to identify people's frequently visited locations along
with their likely activities as a function of time of day and day of week,
capitalizing on both the content and geolocation of messages. We subsequently
characterize people's transition pattern motifs and demonstrate that spatial
information is encoded in word choice.
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Details
- Title
- Constructing a taxonomy of fine-grained human movement and activity motifs through social media
- Creators
- Morgan R FrankJake Ryland WilliamsLewis MitchellJames P BagrowPeter Sheridan DoddsChristopher M Danforth
- Publication Details
- arXiv.org
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991021806681204721