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Tracking urban human activity from mobile phone calling patterns

Abstract:

Timings of human activities are marked by circadian clocks which in turn are entrained to different environmental signals. In an urban environment the presence of artificial lighting and various social cues tend to disrupt the natural entrainment with the sunlight. However, it is not completely understood to what extent this is the case. Here we exploit the large-scale data analysis techniques to study the mobile phone calling activity of people in large cities to infer the dynamics of urban ...

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

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Publisher copy:
10.1371/journal.pcbi.1005824

Authors


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ORCID:
0000-0003-4383-8762
Bhattacharya, K More by this author
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Experimental Psychology
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute

Contributors

Role:
Editor
Academy of Finland More from this funder
Mexican National Council of Science and Technology More from this funder
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
13
Issue:
11
Pages:
e1005824
Publication date:
2017-11-21
Acceptance date:
2017-10-13
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pubs id:
pubs:803383
URN:
uri:8287e7f1-f128-477e-a132-db98b2c2edcd
UUID:
uuid:8287e7f1-f128-477e-a132-db98b2c2edcd
Local pid:
pubs:803383

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