wolfe_primates — Wolfe's monkey troop (1986)

Description

Interactions and kinship among a troop of 20 monkeys, observed in the wild by L. Wolfe during 3 months, as they sported by a river in Ocala, Florida (USA). The data were used, e.g., by S. P. Borgatti and M. G. Everett to illustrate core/periphery structures. The data were distributed in UCINET format (from the UCINET data collection of S. P. Borgatti, M. G. Everett and L. C. Freeman) on the Pajek datasets page of V. Batagelj and A. Mrvar, from which this version was obtained.

presence: joint presence at the river, coded as an interaction and summed within all pairs (WOLFN).
kin: the putative kin relationships among the animals (WOLFK), as directed edges as in the rows and columns of the source matrix (the direction is not further documented; e.g. animal 18 may be the granddaughter of 19).

The networks have the following properties:

Nodes: name, the identification number of the animal; sex, "male" or "female"; age, the age in years; rank, the rank of the animal in the troop.
Edges: weight (presence only), the number of joint presences at the river.

Tags

Social Animal Weighted Metadata

Citation

S. P. Borgatti, M. G. Everett, "Models of core/periphery structures." Social Networks 21(4), 375-395 (2000) 10.1016/S0378-8733(99)00019-2 Sci-Hub
S. P. Borgatti, M. G. Everett, L. C. Freeman, "UCINET for Windows: Software for Social Network Analysis." Analytic Technologies, Harvard, MA (2002) web.archive.org

Upstream URL OK

https://web.archive.org/web/20020312110633/http://vlado.fmf.uni-lj.si/pub/networks/data/UciNet/UciData.htm

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
presence	20	181	18.10	1.14	17.16	0.40	-0.15	0.96	2	1.00	Undirected	Unipartite	name sex age rank	weight	1 KiB	2 KiB	1 KiB	1 KiB
kin	20	15	0.75	1.24	1.00	7.77	-0.35	0.13	5	0.60	Directed	Unipartite	name sex age rank		1 KiB	1 KiB	1 KiB	1 KiB