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).
Usage
data(tribes)
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.
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)