Morningness–eveningness assessment from mobile phone communication analysis

Abstract Human behaviour follows a 24-h rhythm and is known to be governed by the individual chronotypes. Due to the widespread use of technology in our daily lives, it is possible to record the activities of individuals through their different digital traces. In the present study we utilise a large...

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Autores principales:	Chandreyee Roy, Daniel Monsivais, Kunal Bhattacharya, Robin I. M. Dunbar, Kimmo Kaski
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d0058041b7fe4c00bba457d0e65a7eeb
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spelling	oai:doaj.org-article:d0058041b7fe4c00bba457d0e65a7eeb2021-12-02T16:14:03ZMorningness–eveningness assessment from mobile phone communication analysis10.1038/s41598-021-93799-02045-2322https://doaj.org/article/d0058041b7fe4c00bba457d0e65a7eeb2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93799-0https://doaj.org/toc/2045-2322Abstract Human behaviour follows a 24-h rhythm and is known to be governed by the individual chronotypes. Due to the widespread use of technology in our daily lives, it is possible to record the activities of individuals through their different digital traces. In the present study we utilise a large mobile phone communication dataset containing time stamps of calls and text messages to study the circadian rhythms of anonymous users in a European country. After removing the effect of the synchronization of East-West sun progression with the calling activity, we used two closely related approaches to heuristically compute the chronotypes of the individuals in the dataset, to identify them as morning persons or “larks” and evening persons or “owls”. Using the computed chronotypes we showed how the chronotype is largely dependent on age with younger cohorts being more likely to be owls than older cohorts. Moreover, our analysis showed how on average females have distinctly different chronotypes from males. Younger females are more larkish than males while older females are more owlish. Finally, we also studied the period of low calling activity for each of the users which is considered as a marker of their sleep period during the night. We found that while “extreme larks” tend to sleep more than “extreme owls” on the weekends, we do not observe much variation between them on weekdays. In addition, we have observed that women tend to sleep even less than males on weekdays while there is not much difference between them on the weekends.Chandreyee RoyDaniel MonsivaisKunal BhattacharyaRobin I. M. DunbarKimmo KaskiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chandreyee Roy Daniel Monsivais Kunal Bhattacharya Robin I. M. Dunbar Kimmo Kaski Morningness–eveningness assessment from mobile phone communication analysis
description	Abstract Human behaviour follows a 24-h rhythm and is known to be governed by the individual chronotypes. Due to the widespread use of technology in our daily lives, it is possible to record the activities of individuals through their different digital traces. In the present study we utilise a large mobile phone communication dataset containing time stamps of calls and text messages to study the circadian rhythms of anonymous users in a European country. After removing the effect of the synchronization of East-West sun progression with the calling activity, we used two closely related approaches to heuristically compute the chronotypes of the individuals in the dataset, to identify them as morning persons or “larks” and evening persons or “owls”. Using the computed chronotypes we showed how the chronotype is largely dependent on age with younger cohorts being more likely to be owls than older cohorts. Moreover, our analysis showed how on average females have distinctly different chronotypes from males. Younger females are more larkish than males while older females are more owlish. Finally, we also studied the period of low calling activity for each of the users which is considered as a marker of their sleep period during the night. We found that while “extreme larks” tend to sleep more than “extreme owls” on the weekends, we do not observe much variation between them on weekdays. In addition, we have observed that women tend to sleep even less than males on weekdays while there is not much difference between them on the weekends.
format	article
author	Chandreyee Roy Daniel Monsivais Kunal Bhattacharya Robin I. M. Dunbar Kimmo Kaski
author_facet	Chandreyee Roy Daniel Monsivais Kunal Bhattacharya Robin I. M. Dunbar Kimmo Kaski
author_sort	Chandreyee Roy
title	Morningness–eveningness assessment from mobile phone communication analysis
title_short	Morningness–eveningness assessment from mobile phone communication analysis
title_full	Morningness–eveningness assessment from mobile phone communication analysis
title_fullStr	Morningness–eveningness assessment from mobile phone communication analysis
title_full_unstemmed	Morningness–eveningness assessment from mobile phone communication analysis
title_sort	morningness–eveningness assessment from mobile phone communication analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d0058041b7fe4c00bba457d0e65a7eeb
work_keys_str_mv	AT chandreyeeroy morningnesseveningnessassessmentfrommobilephonecommunicationanalysis AT danielmonsivais morningnesseveningnessassessmentfrommobilephonecommunicationanalysis AT kunalbhattacharya morningnesseveningnessassessmentfrommobilephonecommunicationanalysis AT robinimdunbar morningnesseveningnessassessmentfrommobilephonecommunicationanalysis AT kimmokaski morningnesseveningnessassessmentfrommobilephonecommunicationanalysis
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Morningness–eveningness assessment from mobile phone communication analysis

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