ArticleScientific data2019
Interaction data from the Copenhagen Networks Study.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Homophily within and across groups.Nature communications · 2025Article
- Higher-order interactions shape collective human behaviour.Nature human behaviour · 2025Review
- Network-based proactive contact tracing: A pre-emptive, degree-based alerting framework for privacy-preserving COVID-19 apps.PLOS digital health · 2025Article
- Multidimensional social signature de-anonymizes low-sensitivity data.Scientific reports · 2025Article
- Connecting mass-action models and network models for infectious diseases.PLoS computational biology · 2025Article
- Highly engaging events reveal semantic and temporal compression in online community discourse.PNAS nexus · 2025Article
- Hyperedge overlap drives explosive transitions in systems with higher-order interactions.Nature communications · 2025Article
- Restless reachability problems in temporal graphs.Knowledge and information systems · 2025Article
- Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling.PLoS computational biology · 2024Article
- The temporal dynamics of group interactions in higher-order social networks.Nature communications · 2024Article
- Higher-order correlations reveal complex memory in temporal hypergraphs.Nature communications · 2024Article
- Static graph approximations of dynamic contact networks for epidemic forecasting.Scientific reports · 2024Article
- Patterns in Temporal Networks with Higher-Order Egocentric Structures.Entropy (Basel, Switzerland) · 2024Article
- Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models.Psychometrika · 2024Article
- Compressing the Chronology of a Temporal Network with Graph Commutators.Physical review letters · 2024Article
- Temporal clustering of social interactions trades-off disease spreading and knowledge diffusion.Journal of the Royal Society, Interface · 2024Article
- Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model.Scientific reports · 2023Article
- Detrimental network effects in privacy: A graph-theoretic model for node-based intrusions.Patterns (New York, N.Y.) · 2023Article
- Article
- A Bayesian generative neural network framework for epidemic inference problems.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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. Thus, we provide multiple types of communication networks expressed in a single, large population with high temporal resolution, and over a period of multiple weeks, a fact which makes the dataset shared here unique. We expect that reuse of this dataset will allow researchers to make progress on the analysis and modeling of human social networks.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.