2k citations · 5.5k across the 53 of their papers we have counts for
13 papers · 1 filter
Ambient heat and human sleep
Kelton Minor, Andreas Bjerre-Nielsen, Sigga Svala Jonasdottir +2
Ambient temperatures are rising globally, with the greatest increases recorded at night. Concurrently, the prevalence of insufficient sleep is increasing in many populations, with…
A Non-negative Matrix Factorization Based Method for Quantifying Rhythms of Activity and Sleep and Chronotypes Using Mobile Phone Data
Talayeh Aledavood, Ilkka Kivimäki, Sune Lehmann +1
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 body…
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Mirco Nanni, Gennady Andrienko, Albert-László Barabási +36
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when…
Mobile phone data and COVID-19: Missing an opportunity?
Nuria Oliver, Emmanuel Letouzé, Harald Sterly +21
This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in asses…
Offline Behaviors of Online Friends
Piotr Sapiezynski, Arkadiusz Stopczynski, David Kofoed Wind +2
In this work we analyze traces of mobility and co-location among a group of nearly 1000 closely interacting individuals. We attempt to reconstruct the Facebook friendship graph, Fa…
The Role of Gender in Social Network Organization
Ioanna Psylla, Piotr Sapiezynski, Enys Mones +1
The digital traces we leave behind when engaging with the modern world offer an interesting lens through which we study behavioral patterns as expression of gender. Although gender…
Academic Performance and Behavioral Patterns
Valentin Kassarnig, Enys Mones, Andreas Bjerre-Nielsen +3
Identifying the factors that influence academic performance is an essential part of educational research. Previous studies have documented the importance of personality traits, cla…
Inferring Person-to-person Proximity Using WiFi Signals
Piotr Sapiezynski, Arkadiusz Stopczynski, David Kofoed Wind +2
Today's societies are enveloped in an ever-growing telecommunication infrastructure. This infrastructure offers important opportunities for sensing and recording a multitude of hum…
SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events
Andrea Cuttone, Per Bækgaard, Vedran Sekara +3
We propose a Bayesian model for extracting sleep patterns from smartphone events. Our method is able to identify individuals' daily sleep periods and their evolution over time, and…
Understanding Predictability and Exploration in Human Mobility
Andrea Cuttone, Sune Lehmann, Marta C. González
Predictive models for human mobility have important applications in many fields such as traffic control, ubiquitous computing and contextual advertisement. The predictive performan…
Who Wants to Self-Track Anyway? Measuring the Relation between Self-Tracking Behavior and Personality Traits
Georgios Chatzigeorgakidis, Andrea Cuttone, Sune Lehmann +1
We describe an empirical study of the usage of a mobility self-tracking app, SensibleJournal 2014, which provides personal mobility information to N=796 participants as part of a l…
Tracking Human Mobility using WiFi signals
Piotr Sapiezynski, Arkadiusz Stopczynski, Radu Gatej +1
We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent lo…
Privacy in Sensor-Driven Human Data Collection: A Guide for Practitioners
Arkadiusz Stopczynski, Riccardo Pietri, Alex Pentland +2
In recent years, the amount of information collected about human beings has increased dramatically. This development has been partially driven by individuals posting and storing da…