howler_monkeys — Howler monkey co-observations (1984)

Description

Co-observations among 17 mantled howler monkeys (Alouatta palliata) on Barro Colorado Island (Panama). The monkeys were assigned to troops by J. W. Froehlich and R. W. Thorington Jr., and S. J. C. Gaulin recorded ad libitum co-observations of sets of individuals, analyzed by L. D. Sailer and S. J. C. Gaulin (1984) to study the definition of social groups from proximity data. 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 connects two monkeys that were observed together.

The network has the following properties:

Nodes: name, the number of the monkey; troop, the troop (A, B, C or D) to which the monkey was assigned by Froehlich and Thorington; male, whether the monkey is male (monkeys 5, 9, 13, 16, 21, 25 and 27); age, the age class (monkeys 12 and 26 were juveniles, monkey 9 was an infant, and the others were adults).
Edges: weight, the number of co-observations.

Tags

Social Animal Weighted Metadata

Citation

L. D. Sailer, S. J. C. Gaulin, "Proximity, sociality, and observation: The definition of social groups." American Anthropologist 86(1), 91-98 (1984) 10.1525/aa.1984.86.1.02a00080 Sci-Hub
J. W. Froehlich, R. W. Thorington Jr., "The genetic structure and socioecology of howler monkeys (Alouatta palliata) on Barro Colorado Island." In E. G. Leigh, A. S. Rand (eds.), Ecology of Barro Colorado Island: Seasonal Rhythms and Long Term Changes in a Tropical Forest, Smithsonian Press (1981) scholar.google.com

Upstream URL OK

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

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
howler_monkeys	17	85	10.00	1.28	9.14	0.79	-0.06	0.60	2	1.00	Undirected	Unipartite	name troop male age	weight	1 KiB	2 KiB	1 KiB	1 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.