kangaroo — Grey kangaroo associations (1973)

Description

Frequencies of observed physical proximity among 17 free-ranging grey kangaroos (Macropus giganteus) in the Nadgee Nature Reserve in New South Wales (Australia), from the study of dominance and association by T. R. Grant (1973). The original report included 18 kangaroos, but one (M11) was never observed and is not included. The animals comprise five females (F1 to F5) and 12 males (M1 to M13); F4, F5 and M2 are juveniles. Two dominance rankings are also given: SS is the ratio of the number of "successes" of an animal to its number of "involvements"; PS assigns an animal two points for each other animal it bests in more than 50% of their contacts, and one point for a tie. Since there were no contests between the sexes, except for the juvenile male M2, males and females are ranked separately, with M2 ranked among the females. The data were distributed by L. C. Freeman on his network data page at the University of California, Irvine (no longer online), from which this version was obtained via the Internet Archive.

An undirected edge (i, j) indicates that kangaroos i and j were observed in proximity.

The network has the following properties:

Nodes: name, the label of the kangaroo (F: female, M: male); ss_rank and ps_rank, the two dominance ranks described above; diagonal, the diagonal entry of the proximity matrix (its meaning is not documented).
Edges: weight, the number of observed proximities.

Tags

Social Animal Weighted Metadata

Citation

T. R. Grant. "Dominance and association among members of a captive and a free-ranging group of grey kangaroos (Macropus giganteus)." Animal Behaviour 21(3), 449-456, (1973) 10.1016/s0003-3472(73)80004-1 Sci-Hub

Upstream URL OK

https://web.archive.org/web/20210115130726/http://moreno.ss.uci.edu/data.html#kangaroo

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
kangaroo	17	91	10.71	3.86	10.99	0.85	-0.19	0.84	3	1.00	Undirected	Unipartite		weight	2 KiB	2 KiB	2 KiB	2 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.