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sp_high_school_new — High school dynamic contacts (2011-2012)

Description

Temporal networks of face-to-face proximity contacts among students of a high school (the "classes préparatoires" Lycée Thiers) in Marseilles, France, measured by the SocioPatterns collaboration with wearable sensors. Nodes are persons, and each edge is a contact between two persons active during a 20-second interval of the data collection, so that a pair of persons is connected by one edge per interval in which they were in contact.

  • 2011: students of three classes and some of their teachers, during 4 days in December 2011.
  • 2012: students of five classes, during 7 days (from a Monday to the Tuesday of the following week) in November 2012.

The networks have the following properties:

  • (Node) id: the anonymous identifier of the person.
  • (Node) class: the class of the student (e.g. PC*, MP*1, PSI*), or teacher (2011 only).
  • (Node) gender: the gender (M or F).
  • (Edge) time: the end of the 20-second interval $[t - 20\,\text{s}, t]$ during which the contact was active, in seconds. For 2012 it is a UNIX timestamp; for 2011 it is measured from an unspecified reference time.
Tags
Social Offline Unweighted Temporal Metadata
Added
2020-08-11
Citation
Upstream URL OK
https://sociopatterns.org/datasets/high-school-dynamic-contact-networks/
Upstream license
Creative Commons Attribution-NonCommercial-ShareAlike, http://creativecommons.org/licenses/by-nc-sa/3.0/
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
2011 126 28,561 453.35 371.08 32.91 29.34 0.58 0.46 4 1.00 Undirected Unipartite id class gender time 39 KiB 91 KiB 82 KiB 76 KiB
2012 180 45,047 500.52 491.43 29.01 45.58 0.57 0.59 4 1.00 Undirected Unipartite id class gender time 68 KiB 142 KiB 132 KiB 132 KiB
Ridiculograms*
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.