Abstract
| Original language | English |
|---|---|
| Journal | E P J Data Science |
| Volume | 7 |
| Issue number | 1 |
| Number of pages | 14 |
| ISSN | 2193-1127 |
| DOIs | |
| Publication status | Published - 2018 |
Keywords
- Chronotype
- Social networks
- Mobile phone data
- Centrality
- Computer applications to medicine. Medical informatics
- R858-859.7
Cite this
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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 journal › Journal article › Research › peer-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
U2 - 10.1140/epjds/s13688-018-0174-4
DO - 10.1140/epjds/s13688-018-0174-4
M3 - Journal article
VL - 7
JO - E P J Data Science
JF - E P J Data Science
SN - 2193-1127
IS - 1
ER -