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Understanding human behavior in urban spaces using social network data: A mobility graph approach

Abstract:

Public streams of geo-located social media information have provided researchers with a rich source of information from which to draw patterns of urban-scale human-mobility. However, most of the literature relies on assumptions over the spatial distribution of this data (e.g., by considering only a uniform grid division of space). In this work the authors present a method that does not rely on such assumptions. They followed the social media activity of 24,135 Twitter users from Mexico City o...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.4018/IJWSR.2016100104

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Institute
Role:
Author
More from this funder
Funding agency for:
Beguerisse-Díaz, M
Consejo Nacional de Ciencia y Tecnología More from this funder
Asociación Mexicana de Cultura A.C. More from this funder
Publisher:
IGI Global Publisher's website
Journal:
International Journal of Web Services Research Journal website
Volume:
13
Issue:
4
Pages:
54-66
Publication date:
2016-10-01
Acceptance date:
2016-09-19
DOI:
EISSN:
1546-5004
ISSN:
1545-7362
Pubs id:
pubs:656481
URN:
uri:fafe454c-80d5-48f7-b57c-9edd9f3628af
UUID:
uuid:fafe454c-80d5-48f7-b57c-9edd9f3628af
Local pid:
pubs:656481
Paper number:
4

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