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Interaction data from the Copenhagen Networks Study
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 (estimate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906316/ https://www.ncbi.nlm.nih.gov/pubmed/31827097 http://dx.doi.org/10.1038/s41597-019-0325-x |
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author | Sapiezynski, Piotr Stopczynski, Arkadiusz Lassen, David Dreyer Lehmann, Sune |
author_facet | Sapiezynski, Piotr Stopczynski, Arkadiusz Lassen, David Dreyer Lehmann, Sune |
author_sort | Sapiezynski, Piotr |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6906316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69063162019-12-13 Interaction data from the Copenhagen Networks Study Sapiezynski, Piotr Stopczynski, Arkadiusz Lassen, David Dreyer Lehmann, Sune Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-12-11 /pmc/articles/PMC6906316/ /pubmed/31827097 http://dx.doi.org/10.1038/s41597-019-0325-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Sapiezynski, Piotr Stopczynski, Arkadiusz Lassen, David Dreyer Lehmann, Sune Interaction data from the Copenhagen Networks Study |
title | Interaction data from the Copenhagen Networks Study |
title_full | Interaction data from the Copenhagen Networks Study |
title_fullStr | Interaction data from the Copenhagen Networks Study |
title_full_unstemmed | Interaction data from the Copenhagen Networks Study |
title_short | Interaction data from the Copenhagen Networks Study |
title_sort | interaction data from the copenhagen networks study |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906316/ https://www.ncbi.nlm.nih.gov/pubmed/31827097 http://dx.doi.org/10.1038/s41597-019-0325-x |
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