Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–29 of 29 results
Advanced filters: Author: Sune Lehmann Clear advanced filters

  • People manage different relationships, including friendships and health-related and economic ties. The authors present a model that reveals how these layers of social life interact, showing that friendship ties rely strongly on interdependence, whereas health and economic ties are shaped more by status.

    • Nikolaos Nakis
    • Sune Lehmann
    • Morten Mørup
    ResearchOpen Access
    Nature Communications
    P: 1-12

  • Are some ways of measuring scientific quality better than others? Sune Lehmann, Andrew D. Jackson and Benny E. Lautrup analyse the reliability of commonly used methods for comparing citation records.

    • Sune Lehmann
    • Andrew D. Jackson
    • Benny E. Lautrup
    Comments & Opinion
    Nature
    Volume: 444, P: 1003-1004

  • Using registry data from Denmark, Lehmann et al. create individual-level trajectories of events related to health, education, occupation, income and address, and also apply transformer models to build rich embeddings of life-events and to predict outcomes ranging from time of death to personality.

    • Germans Savcisens
    • Tina Eliassi-Rad
    • Sune Lehmann
    Research
    Nature Computational Science
    Volume: 4, P: 43-56

  • Network theory has become pervasive in all sectors of biology, from biochemical signalling to human societies, but identification of relevant functional communities has been impaired by many nodes belonging to several overlapping groups at once, and by hierarchical structures. These authors offer a radically different viewpoint, focusing on links rather than nodes, which allows them to demonstrate that overlapping communities and network hierarchies are two faces of the same issue.

    • Yong-Yeol Ahn
    • James P. Bagrow
    • Sune Lehmann
    Research
    Nature
    Volume: 466, P: 761-764

  • Boucherie et al. apply physics-based models to the arrangement of locations to study how geography shapes human movement. They find an underlying pattern in how people choose to move, independent of geographical layout.

    • Louis Boucherie
    • Benjamin F. Maier
    • Sune Lehmann
    Research
    Nature Human Behaviour
    Volume: 9, P: 2564-2575

  • The impacts of technological development on social sphere lack strong empirical foundation. Here the authors presented quantitative analysis of the phenomenon of social acceleration across a range of digital datasets and found that interest appears in bursts that dissipate on decreasing timescales and occur with increasing frequency.

    • Philipp Lorenz-Spreen
    • Bjarke Mørch Mønsted
    • Sune Lehmann
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-9

  • An analysis of mobile-phone tracking data has revealed a universal pattern that describes the interplay between the distances travelled by humans on trips and the frequency with which those trips are made.

    • Laura Alessandretti
    • Sune Lehmann
    News & Views
    Nature
    Volume: 593, P: 515-516

  • A high proportion of confirmed SARS-CoV-2 cases in Denmark were sequenced during the pandemic and linked to demographic, spatial and temporal data. Here, the authors analyse 290,000 genomes sampled in 2021 to demonstrate the value of this high coverage, detailed data set.

    • Mark P. Khurana
    • Jacob Curran-Sebastian
    • Samir Bhatt
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-16

  • This study suggests that a lack of co-location hinders the formation of ‘weak ties’—which are crucial for information spread—in communication networks on the basis of an analysis of an email network of more than 2,800 university researchers.

    • Daniel Carmody
    • Martina Mazzarello
    • Carlo Ratti
    Research
    Nature Computational Science
    Volume: 2, P: 494-503

  • Leveraging a global dataset, the authors show how sleep away from home depends on the sleep needs of the individual: when travelling, underslept people tend to sleep more, while well-rested individuals tend to sleep less.

    • Sigga Svala Jonasdottir
    • James Bagrow
    • Sune Lehmann
    Research
    Nature Human Behaviour
    Volume: 6, P: 691-699

  • Battiston et al. discuss the emerging paradigm of higher-order network science and its applications to social systems and human dynamics.

    • Federico Battiston
    • Valerio Capraro
    • Matjaž Perc
    Reviews
    Nature Human Behaviour
    Volume: 9, P: 2441-2457

  • Contact tracing is key to epidemic control, but network analysis now suggests that whom you infect may not be as pertinent a question as who infected you. Biases due to contact heterogeneity reveal the efficacy of backward over forward tracing.

    • Sadamori Kojaku
    • Laurent Hébert-Dufresne
    • Yong-Yeol Ahn
    Research
    Nature Physics
    Volume: 17, P: 652-658

  • A model shows that human mobility is organized within hierarchical containers that coincide with familiar scales and that a power-law distribution emerges when movements between different containers are combined.

    • Laura Alessandretti
    • Ulf Aslak
    • Sune Lehmann
    Research
    Nature
    Volume: 587, P: 402-407

  • Complex contagions — for example when ideas spread across a network — are thought to be different from the simple contagions observed for infections. Simple contagions are now shown to exhibit a key macroscopic characteristic of complex behaviour when they interact.

    • Sune Lehmann
    News & Views
    Nature Physics
    Volume: 16, P: 377-378

  • The uncertainty associated with epidemic forecasts is often simulated with ensembles of epidemic trajectories based on combinations of parameters. We show that the standard approach for summarizing such ensembles systematically suppresses critical epidemiological information.

    • Jonas L. Juul
    • Kaare Græsbøll
    • Sune Lehmann
    Comments & Opinion
    Nature Physics
    Volume: 17, P: 5-8

  • Analysing high-resolution mobility traces from almost 40,000 individuals reveals that people typically revisit a set of 25 familiar locations day-to-day, but that this set evolves over time and is proportional to the size of their social sphere.

    • Laura Alessandretti
    • Piotr Sapiezynski
    • Andrea Baronchelli
    Research
    Nature Human Behaviour
    Volume: 2, P: 485-491

  • Koher et al. use Bayesian analysis to evaluate the usefulness of survey responses compared to mobility data as a tool to monitor the effects of lockdown as a disease mitigation strategy. Self-reported contacts during lockdown better predict future hospitalizations than mobility data.

    • Andreas Koher
    • Frederik Jørgensen
    • Sune Lehmann
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-10