Social network differences of chronotypes identified from mobile phone data
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”,...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
SpringerOpen
2018-10-01
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| Seria: | EPJ Data Science |
| Hasła przedmiotowe: | |
| Dostęp online: | http://link.springer.com/article/10.1140/epjds/s13688-018-0174-4 |
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