contacts-high-school
Description
This dataset corresponds to the contacts and friendship relations between students in a high school in Marseilles, France, in December 2013. Nodes represent individuals. Original data are pairwise contacts; hyperedges are constructed by promoting cliques of contacts into higher-order group interactions.
Basic statistics
- Nodes: 327
- Hyperedges: 172035
- Unique hyperedges: 7818
- Max size hyperedge: 5
Hypergraph metadata
| Property | Description |
|---|---|
| type | (STRING) Hypergraph type (e.g., TemporalHypergraph). |
| weighted | (BOOL) Whether the hypergraph is weighted (e.g., false). |
Node metadata
| Property | Description |
|---|---|
| id | (INT) Unique identifier for the student (e.g., 454). |
| class | (STRING) Student class identifier (e.g., 2BIO1, 2BIO2, MP, MP*1). |
| sex | (STRING) Student sex (M=male, F=female, Unknown) (e.g., F). |
| has_facebook | (BOOL) Whether the student has a Facebook account (e.g., true). |
| facebook_friends | (LIST[INT]) List of student IDs who are Facebook friends (e.g., [34, 151, 156]). |
| has_compiled_questionnaire | (BOOL) Whether the student completed the friendship questionnaire (e.g., false). |
| questionnaire_friends | (LIST[INT]) List of student IDs reported as friends in the questionnaire (e.g., [205, 272, 494]). |
Hyperedge metadata
| Property | Description |
|---|---|
| time | (INT) Normalized timestamp (seconds from first contact) (e.g., 0). |
| original_time | (INT) Unix timestamp of the contact event (e.g., 1385982020). |
Hyperedge size distribution
Hyperdegree distribution
Download
- Version 1.0.0 Binary (2.6 MB) JSON (790.6 KB)
Provenance
Source: http://www.sociopatterns.org/datasets/high-school-contact-and-friendship-networks/
License: CC BY-NC-SA 3.0
Reproducibility: Instructions and scripts
Citation
When this data is used in published research or for visualization purposes, please cite the following:
Copied!
@article{mastrandrea2015contact,
title={Contact patterns in a high school: a comparison between data collected using wearable sensors, contact diaries and friendship surveys},
author={Mastrandrea, Rossana and Fournet, Julie and Barrat, Alain},
journal={PloS one},
volume={10},
number={9},
pages={e0136497},
year={2015},
publisher={Public Library of Science San Francisco, CA USA}
}
@article{lotito2023hypergraphx,
author = {Lotito, Quintino Francesco and Contisciani, Martina and De Bacco, Caterina and Di Gaetano, Leonardo and Gallo, Luca and Montresor, Alberto and Musciotto, Federico and Ruggeri, Nicolò and Battiston, Federico},
title = "{Hypergraphx: a library for higher-order network analysis}",
journal = {Journal of Complex Networks},
volume = {11},
number = {3},
year = {2023},
month = {05},
issn = {2051-1329},
doi = {10.1093/comnet/cnad019},
url = {https://doi.org/10.1093/comnet/cnad019},
note = {cnad019},
eprint = {https://academic.oup.com/comnet/article-pdf/11/3/cnad019/50461094/cnad019.pdf},
}