Tracking urban human activity from mobile phone calling patterns

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Tracking urban human activity from mobile phone calling patterns. / Monsivais, Daniel; Ghosh, Asim; Bhattacharya, Kunal; Dunbar, Robin I.M.; Kaski, Kimmo.

julkaisussa: PLoS computational biology, Vuosikerta 13, Nro 11, e1005824, 01.11.2017, s. 1-16.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Monsivais, Daniel ; Ghosh, Asim ; Bhattacharya, Kunal ; Dunbar, Robin I.M. ; Kaski, Kimmo. / Tracking urban human activity from mobile phone calling patterns. Julkaisussa: PLoS computational biology. 2017 ; Vuosikerta 13, Nro 11. Sivut 1-16.

Bibtex - Lataa

@article{43928848774f4096a498fd55bff00f94,
title = "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 daily rhythms. From the calling patterns of about 1,000,000 users spread over different cities but lying inside the same time-zone, we show that the onset and termination of the calling activity synchronizes with the east-west progression of the sun. We also find that the onset and termination of the calling activity of users follows a yearly dynamics, varying across seasons, and that its timings are entrained to solar midnight. Furthermore, we show that the average mid-sleep time of people living in urban areas depends on the age and gender of each cohort as a result of biological and social factors.",
author = "Daniel Monsivais and Asim Ghosh and Kunal Bhattacharya and Dunbar, {Robin I.M.} and Kimmo Kaski",
year = "2017",
month = "11",
day = "1",
doi = "10.1371/journal.pcbi.1005824",
language = "English",
volume = "13",
pages = "1--16",
journal = "PLoS computational biology",
issn = "1553-734X",
publisher = "Public Library of Science",
number = "11",

}

RIS - Lataa

TY - JOUR

T1 - Tracking urban human activity from mobile phone calling patterns

AU - Monsivais, Daniel

AU - Ghosh, Asim

AU - Bhattacharya, Kunal

AU - Dunbar, Robin I.M.

AU - Kaski, Kimmo

PY - 2017/11/1

Y1 - 2017/11/1

N2 - 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 daily rhythms. From the calling patterns of about 1,000,000 users spread over different cities but lying inside the same time-zone, we show that the onset and termination of the calling activity synchronizes with the east-west progression of the sun. We also find that the onset and termination of the calling activity of users follows a yearly dynamics, varying across seasons, and that its timings are entrained to solar midnight. Furthermore, we show that the average mid-sleep time of people living in urban areas depends on the age and gender of each cohort as a result of biological and social factors.

AB - 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 daily rhythms. From the calling patterns of about 1,000,000 users spread over different cities but lying inside the same time-zone, we show that the onset and termination of the calling activity synchronizes with the east-west progression of the sun. We also find that the onset and termination of the calling activity of users follows a yearly dynamics, varying across seasons, and that its timings are entrained to solar midnight. Furthermore, we show that the average mid-sleep time of people living in urban areas depends on the age and gender of each cohort as a result of biological and social factors.

UR - http://www.scopus.com/inward/record.url?scp=85036551487&partnerID=8YFLogxK

U2 - 10.1371/journal.pcbi.1005824

DO - 10.1371/journal.pcbi.1005824

M3 - Article

VL - 13

SP - 1

EP - 16

JO - PLoS computational biology

JF - PLoS computational biology

SN - 1553-734X

IS - 11

M1 - e1005824

ER -

ID: 16609379