# Netzschleuder network catalogue, repository and centrifuge

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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["sp_office"]

# sp_office — Workplace contacts (2013)

Description

A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.1

The data set comprises two files. The first one contains a tab-separated list representing the active contacts during 20-second intervals of the data collection. Each line has the form “t i j”, where i and j are the anonymous IDs of the persons in contact, and the interval during which this contact was active is [t – 20s, t] (t is expressed in seconds since the time origin taken as 0:00 on June 24, 2013).

The second file contains a list of the form “i Di” where i is the anonymous ID of an individual and Di the name of his/her department in the workplace.

1. Description obtained from the ICON project.

Tags
Social Offline Weighted Temporal Metadata
Citation
• M. Génois et al., "Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers." Network Science 3(3), 326-347 (2015), https://doi.org/10.1017/nws.2015.10 [@sci-hub]
Upstream URL OK
http://www.sociopatterns.org/datasets/contacts-in-a-workplace/
Networks
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
sp_office 92 9,827 213.63 194.76 18.72 19.35 0.50 0.46 3 1.00 Undirected Unipartite id department time 22 KiB 37 KiB 35 KiB 28 KiB
Ridiculograms