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Sune Lehmann
Technical University of Denmark
Data miningData sciencePopulationComputer scienceSocial network
83Publications
23H-index
3,387Citations
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Publications 91
Newest
#1Nuria OliverH-Index: 41
#2Bruno Lepri (fondazione bruno kessler)H-Index: 27
Last. Ciro Cattuto (UNITO: University of Turin)H-Index: 1
view all 24 authors...
The coronavirus 2019-2020 pandemic (COVID-19) poses unprecedented challenges for governments and societies around the world ( 1 ). Non-pharmaceutical interventions (NPIs) have proven to be critical for delaying and containing the COVID-19 pandemic ( 2 – 6 ). This includes testing and tracing, bans on large gatherings, non-essential business and school and university closures, international and domestic mobility restrictions and physical isolation, and total lockdowns of regions and countries. De...
1 CitationsSource
#1Mirco Nanni (National Research Council)H-Index: 2
#2Gennady AndrienkoH-Index: 41
Last. Frank DignumH-Index: 45
view all 39 authors...
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of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raise...
1 Citations
Terrorists use violence in pursuit of political goals. While terror often has severe consequences for victims, it remains an open question how terror attacks affect the general population. We study the behavioral response of citizens of cities affected by 7different terror attacks. We compare real-time mobile communication patterns in the first 24hours following a terror attack to the corresponding patterns on days with no terror attack. On ordinary days, the group of female and male parti...
#1Mirco NanniH-Index: 20
#2Gennady AndrienkoH-Index: 41
Last. Mark CotéH-Index: 1
view all 40 authors...
#1Nuria OliverH-Index: 41
#2Emmanuel LetouzéH-Index: 5
Last. Vittoria ColizzaH-Index: 32
view all 24 authors...
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 assessing the effectiveness of control measures such as physical distancing. It identifies key gaps and reasons why this kind of data is only scarcely used, although their value in similar epidemics has proven in a number of use cases. It presents ways to overcome these gaps and key recommendations for urgent action, most n...
7 Citations
#1Piotr Sapiezynski (DTU: Technical University of Denmark)H-Index: 9
#2Arkadiusz Stopczynski (DTU: Technical University of Denmark)H-Index: 12
Last. Sune Lehmann (DTU: Technical University of Denmark)H-Index: 23
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We describe the multi-layer temporal network which connects a population of more than 700 university students over a period of four weeks. The dataset was collected via smartphones as part of the Copenhagen Networks Study. We include the network of physical proximity among the participants (estimated via Bluetooth signal strength), the network of phone calls (start time, duration, no content), the network of text messages (time of message, no content), and information about Facebook friendships....
1 CitationsSource
#1Ulf Aslak (DTU: Technical University of Denmark)H-Index: 2
#2Søren Føns Vind Nielsen (DTU: Technical University of Denmark)H-Index: 4
Last. Sune Lehmann (DTU: Technical University of Denmark)H-Index: 23
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It is widely agreed that the human brain is organized as a system of segregated modules that reside in separate regions and, through coordinated integration, support different cognitive functions. Through recent breakthroughs in modeling the activity of the brain, it has been demonstrated that each such module can participate in multiple so-called functional networks – networks of brain regions that activate in synchrony during specific types of cognition. If we model the brain as a temporal net...
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#1Betina Ristorp Andersen (UCPH: University of Copenhagen)H-Index: 2
#2Jesper L. Hinrich (DTU: Technical University of Denmark)H-Index: 1
Last. Martin G. Tolsgaard (UCPH: University of Copenhagen)H-Index: 14
view all 7 authors...
Research from outside the medical field suggests that social ties between team-members influence knowledge sharing, improve coordination, and facilitate task completion. However, the relative importance of social ties among team-members for patient satisfaction remains unknown. In this study, we explored the association between social ties within emergency teams performing simulated caesarean sections (CS) and patient-actor satisfaction. Two hundred seventy-two participants were allocated to 33 ...
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#1Vlad Manea (UCPH: University of Copenhagen)H-Index: 1
#2Allan Berrocal (University of Geneva)H-Index: 1
Last. Euan A. Ashley (Stanford University)H-Index: 58
view all 8 authors...
Individuals increasingly use mobile, wearable, and ubiquitous devices capable of unobtrusive collection of vast amounts of scientifically rich personal data over long periods (months to years), and in the context of their daily life. However, numerous human and technological factors challenge longitudinal data collection, often limiting research studies to very short data collection periods (days to weeks), spawning recruitment biases, and affecting participant retention over time. This workshop...
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#1Sune Lehmann (DTU: Technical University of Denmark)H-Index: 23
In this paper I introduce a framework for modeling temporal communication networks and dynamical processes unfolding on such networks. The framework originates from the realization that there is a meaningful division of temporal communication networks into six dynamic classes, where the class of a network is determined by its generating process. In particular, each class is characterized by a fundamental structure: a temporal-topological network motif, which corresponds to the network representa...
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