Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data
Human activities follow daily, weekly, and seasonal rhythms. The emergence of these
rhythms is related to physiology and natural cycles as well as social constructs. The human …
rhythms is related to physiology and natural cycles as well as social constructs. The human …
Common multi-day rhythms in smartphone behavior
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 …
on the moon to modern clinical observations in epilepsy and mood disorders. To explore …
Digital daily cycles of individuals
Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at
night and are active through the day. Because we have evolved to function with this cycle …
night and are active through the day. Because we have evolved to function with this cycle …
Discovering hidden structure in high dimensional human behavioral data via tensor factorization
H Hosseinmardi, HT Kao, K Lerman… - arXiv preprint arXiv …, 2019 - arxiv.org
In recent years, the rapid growth in technology has increased the opportunity for longitudinal
human behavioral studies. Rich multimodal data, from wearables like Fitbit, online social …
human behavioral studies. Rich multimodal data, from wearables like Fitbit, online social …
How circadian rhythms extracted from social media relate to physical activity and sleep
Circadian rhythm has been linked to both physical and mental health at an individual level in
prior research. Such a link at population level has been long hypothesized but has never …
prior research. Such a link at population level has been long hypothesized but has never …
Daily rhythms in mobile telephone communication
Circadian rhythms are known to be important drivers of human activity and the recent
availability of electronic records of human behaviour has provided fine-grained data of …
availability of electronic records of human behaviour has provided fine-grained data of …
Tracking behavioral patterns among students in an online educational system
Analysis of log data generated by online educational systems is an essential task to better
the educational systems and increase our understanding of how students learn. In this study …
the educational systems and increase our understanding of how students learn. In this study …
Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach
The increasing availability of temporal network data is calling for more research on
extracting and characterizing mesoscopic structures in temporal networks and on relating …
extracting and characterizing mesoscopic structures in temporal networks and on relating …
A global quantification of “normal” sleep schedules using smartphone data
The influence of the circadian clock on sleep scheduling has been studied extensively in the
laboratory; however, the effects of society on sleep remain largely unquantified. We show …
laboratory; however, the effects of society on sleep remain largely unquantified. We show …
Daily routine classification from mobile phone data
K Farrahi, D Gatica-Perez - … Workshop on Machine Learning for Multimodal …, 2008 - Springer
The automatic analysis of real-life, long-term behavior and dynamics of individuals and
groups from mobile sensor data constitutes an emerging and challenging domain. We …
groups from mobile sensor data constitutes an emerging and challenging domain. We …