Social Network Differences of Chronotypes Identified from Mobile Phone Data
September 20, 2017 Β· Declared Dead Β· π EPJ Data Science
"No code URL or promise found in abstract"
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Authors
Talayeh Aledavood, Sune Lehmann, Jari SaramΓ€ki
arXiv ID
1709.06690
Category
physics.soc-ph
Cross-listed
cs.SI
Citations
52
Venue
EPJ Data Science
Last Checked
3 months ago
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 on the effects of chronotypes on the social behavior, even though it is evident that social interactions require coordinated timings. To study how chronotypes relate to social behavior, we use data collected using 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. Owls also display strong homophily, as seen in an unexpectedly large number of social ties connecting owls to owls.
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