Social network differences of chronotypes identified from mobile phone data

Talayeh Aledavood*, Sune Lehmann, Jari Saramäki

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Abstract Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the extremes can be categorized into two chronotypes: “larks”, those who wake up and go to sleep early, and “owls”, those who stay up and wake up late. It is well established that a person’s chronotype can affect their activities and health. However, less is known about the effects of chronotypes on social behavior, even though many social interactions require coordinated timings. To study how chronotypes relate to social behavior, we use data collected with a smartphone app on a population of more than seven hundred volunteer students to simultaneously determine their chronotypes and social network structure. We find that owls maintain larger personal networks, albeit with less time spent per contact. On average, owls are more central in the social network of students than larks, frequently occupying the dense core of the network. These results point out that there is a strong connection between the chronotypes of people and the structure of social networks that they form.
Original languageEnglish
JournalE P J Data Science
Volume7
Issue number1
Number of pages14
ISSN2193-1127
DOIs
Publication statusPublished - 2018

Keywords

  • Chronotype
  • Social networks
  • Mobile phone data
  • Centrality
  • Computer applications to medicine. Medical informatics
  • R858-859.7

Cite this

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title = "Social network differences of chronotypes identified from mobile phone data",
abstract = "Abstract Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the extremes can be categorized into two chronotypes: “larks”, those who wake up and go to sleep early, and “owls”, those who stay up and wake up late. It is well established that a person’s chronotype can affect their activities and health. However, less is known about the effects of chronotypes on social behavior, even though many social interactions require coordinated timings. To study how chronotypes relate to social behavior, we use data collected with a smartphone app on a population of more than seven hundred volunteer students to simultaneously determine their chronotypes and social network structure. We find that owls maintain larger personal networks, albeit with less time spent per contact. On average, owls are more central in the social network of students than larks, frequently occupying the dense core of the network. These results point out that there is a strong connection between the chronotypes of people and the structure of social networks that they form.",
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author = "Talayeh Aledavood and Sune Lehmann and Jari Saram{\"a}ki",
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Social network differences of chronotypes identified from mobile phone data. / Aledavood, Talayeh; Lehmann, Sune; Saramäki, Jari.

In: E P J Data Science, Vol. 7, No. 1, 2018.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Social network differences of chronotypes identified from mobile phone data

AU - Aledavood, Talayeh

AU - Lehmann, Sune

AU - Saramäki, Jari

PY - 2018

Y1 - 2018

N2 - Abstract Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the extremes can be categorized into two chronotypes: “larks”, those who wake up and go to sleep early, and “owls”, those who stay up and wake up late. It is well established that a person’s chronotype can affect their activities and health. However, less is known about the effects of chronotypes on social behavior, even though many social interactions require coordinated timings. To study how chronotypes relate to social behavior, we use data collected with a smartphone app on a population of more than seven hundred volunteer students to simultaneously determine their chronotypes and social network structure. We find that owls maintain larger personal networks, albeit with less time spent per contact. On average, owls are more central in the social network of students than larks, frequently occupying the dense core of the network. These results point out that there is a strong connection between the chronotypes of people and the structure of social networks that they form.

AB - Abstract Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the extremes can be categorized into two chronotypes: “larks”, those who wake up and go to sleep early, and “owls”, those who stay up and wake up late. It is well established that a person’s chronotype can affect their activities and health. However, less is known about the effects of chronotypes on social behavior, even though many social interactions require coordinated timings. To study how chronotypes relate to social behavior, we use data collected with a smartphone app on a population of more than seven hundred volunteer students to simultaneously determine their chronotypes and social network structure. We find that owls maintain larger personal networks, albeit with less time spent per contact. On average, owls are more central in the social network of students than larks, frequently occupying the dense core of the network. These results point out that there is a strong connection between the chronotypes of people and the structure of social networks that they form.

KW - Chronotype

KW - Social networks

KW - Mobile phone data

KW - Centrality

KW - Computer applications to medicine. Medical informatics

KW - R858-859.7

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DO - 10.1140/epjds/s13688-018-0174-4

M3 - Journal article

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JO - E P J Data Science

JF - E P J Data Science

SN - 2193-1127

IS - 1

ER -