@article{ceolini2023common,
title={Common multi-day rhythms in smartphone behavior},
author={Ceolini, Enea and Ghosh, Arko},
journal={NPJ Digital Medicine},
volume={6},
number={1},
pages={49},
year={2023},
publisher={Nature Publishing Group UK London},
url={https://www.nature.com/articles/s41746-023-00799-7},
urldate={2023-04-17},
abstract={The idea that abnormal human activities follow multi-day rhythms is found in ancient beliefs on the moon to modern clinical observations in epilepsy and mood disorders. To explore multi-day rhythms in healthy human behavior our analysis includes over 300 million smartphone touchscreen interactions logging up to 2 years of day-to-day activities (N401 subjects). At the level of each individual, we find a complex expression of multi-day rhythms where the rhythms occur scattered across diverse smartphone behaviors. With non-negative matrix factorization, we extract the scattered rhythms to reveal periods ranging from 7 to 52 days - cutting across age and gender. The rhythms are likely free-running - instead of being ubiquitously driven by the moon - as they did not show broad population-level synchronization even though the sampled population lived in northern Europe. We propose that multi-day rhythms are a common trait, but their consequences are uniquely experienced in day-to-day behavior.},
annote={Joint-Interval Distribution (JID)},
}