most citedMeasuring large-scale social networks with high resolution

422 citations · 495 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2016★ 68 cited

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…

cs.CY2016

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…

cs.GR2016★ 3 cited

Geoplotlib: a Python Toolbox for Visualizing Geographical Data

Andrea Cuttone, Sune Lehmann, Jakob Eg Larsen

We introduce geoplotlib, an open-source python toolbox for visualizing geographical data. geoplotlib supports the development of hardware-accelerated interactive visualizations in…

cs.CY2016★ 2 cited

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…

cs.SI2014★ 422 cited

Measuring large-scale social networks with high resolution

Arkadiusz Stopczynski, Vedran Sekara, Piotr Sapiezynski +4

This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and span…