tribes: Read Highland Tribes

In latentnet: Latent Position and Cluster Models for Statistical Networks

Read Highland Tribes

Description

A network of political alliances and enmities among the 16 Gahuku-Gama sub-tribes of Eastern Central Highlands of New Guinea, documented by Read (1954).

Format

An undirected network object with no loops, having the following attributes:

%v% "vertex.names"

Character attribute with names of tribes.

%e% "pos"

Logical attribute indicating an alliance relationship.

%e% "neg"

Logical attribute indicating a hostile relationship ("rova").

%e% "sign"

Numeric attribute coding -1 for enmity, 0 for no relationship, and 1 for alliance.

%e% "sign.012"

Numeric attribute coding 0 for enmity, 1 for no relationship, and 2 for alliance.

Because of limitations of network objects, the object itself is a complete graph, and is thus meaningless if used directly or plotted.

Details

This network shows 3 clusters.

Source

http://vlado.fmf.uni-lj.si/pub/networks/data/UciNet/UciData.htm#gama, with corrections from Read (1954).

References

Taken from UCINET IV, which cites the following: Hage P. and Harary F. (1983). Structural models in anthropology. Cambridge: Cambridge University Press. (See p 56-60). Read K. (1954). Cultures of the central highlands, New Guinea. Southwestern Journal of Anthropology, 10, 1-43.

Examples

data(tribes)
# Only model positive ties:
tribes.fit<-ergmm(tribes~euclidean(d=2,G=3),response="pos")
# Edge color must be set manually, for green ties to represent alliance
# and for red ties to represent enmity.
plot(tribes.fit,edge.col=as.matrix(tribes,"pos",m="a")*3+as.matrix(tribes,"neg",m="a")*2,pie=TRUE)
# Model both positive and negative ties:
tribes.fit3<-ergmm(tribes~euclidean(d=2,G=3),response="sign.012",
                   family="binomial.logit",fam.par=list(trials=2))
# Edge color must be set manually, for green ties to represent alliance
# and for red ties to represent enmity.
plot(tribes.fit3,edge.col=as.matrix(tribes,"pos",m="a")*3+as.matrix(tribes,"neg",m="a")*2,pie=TRUE)

latentnet documentation built on May 11, 2022, 5:16 p.m.