mice_contacts — Free-ranging house mice contacts (2017)

Description

Temporal network of contacts among the house mice (Mus musculus domesticus) of a free-ranging population living in a barn near Zurich, Switzerland, studied by the group of Barbara König since 2002. The adult mice carry implanted RFID transponders, and antennas at the entrances of the nest boxes of the barn record when each mouse enters and leaves a nest box. Two mice are in contact while they are in the same nest box at the same time. The data cover the period from 28 February to 1 May 2017, and were released by Bovet et al. with their study of community detection in temporal networks.

Nodes are mice, and each edge is a contact between two mice, so that two mice are connected by as many edges as the number of their contacts. The network has the following properties:

(Node) id: the identifier of the mouse in the data set.
(Node) sex: the sex of the mouse (male, female, or unknown for two mice).
(Edge) time (edges): the start of the contact, in Unix time (rounded down to the second). The source gives the times in seconds from 28 February 2017 00:00:00; this is taken here as local time (CET).
(Edge) duration (edges): the duration of the contact, in seconds.

Tags

Animal Offline Temporal Timestamps Multigraph Unweighted Metadata

Added

2026-10-27

Citation

J. C. Evans, A. K. Lindholm, B. König, "Long-term overlap of social and genetic structure in free-ranging house mice reveals dynamic seasonal and group size effects." Current Zoology 67, 59-69 (2021) 10.1093/cz/zoaa030 Sci-Hub
A. Bovet, J.-C. Delvenne, R. Lambiotte, "Flow stability for dynamic community detection." Science Advances 8, eabj3063 (2022) 10.1126/sciadv.abj3063 Sci-Hub

Upstream URL OK

https://doi.org/10.5281/zenodo.4725155

Upstream license

CC BY 4.0, https://creativecommons.org/licenses/by/4.0/

Networks

Tip: hover over a column header 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
mice_contacts	437	5,751,692	26323.53	16446.69	65.19	13540.76	0.50	0.94	5	1.00	Undirected	Unipartite	id sex	time duration	21.2 MiB	55.8 MiB	53.2 MiB	60.1 MiB