activity
20072023
most citedLink communities reveal multiscale complexity in networks

2k citations · 5.5k across the 53 of their papers we have counts for

collaborators
Showing 2016Show all

11 papers · 1 filter

cs.SI2016

Contact activity and dynamics of the online elite

Enys Mones, Arkadiusz Stopczynski, Sune Lehmann

Humans interact through numerous channels to build and maintain social connections: they meet face-to-face, initiate phone calls or send text messages, and interact via social medi…

cs.SI2016★ 8 cited

Correlations Between Human Mobility and Social Interaction Reveal General Activity Patterns

Anders Mollgaard, Sune Lehmann, Joachim Mathiesen

A day in the life of a person involves a broad range of activities which are common across many people. Going beyond diurnal cycles, a central question is: to what extent do indivi…

cs.CY2016★ 3 cited

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…

physics.soc-ph2016★ 87 cited

Multi-scale spatio-temporal analysis of human mobility

Laura Alessandretti, Piotr Sapiezynski, Sune Lehmann +1

The recent availability of digital traces generated by phone calls and online logins has significantly increased the scientific understanding of human mobility. Until now, however,…

physics.soc-ph2016

Evidence for a Conserved Quantity in Human Mobility

Laura Alessandretti, Piotr Sapiezynski, Vedran Sekara +2

Recent seminal works on human mobility have shown that individuals constantly exploit a small set of repeatedly visited locations. A concurrent literature has emphasized the explor…

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…