tribes: Read Highland Tribes

In statnet/statnet.data: Network Datasets for the Statnet Suite

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). This network shows 3 clusters.

Format

Undirected network object with 16 nodes and 120 edges. Edge attributes: neg, pos, sign, sign.012. Vertex attributes are:

• vertex.names – Character attribute with names of tribes.

Edge attributes:

• pos – Logical attribute indicating an alliance relationship.

• neg – Logical attribute indicating a hostile relationship ("rova")

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

• 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.

Licenses and Citation

If the section Source of this page does not specify otherwise, this data set is protected by the Creative Commons License https://creativecommons.org/licenses/by/4.0/.

When publishing results obtained using this data set, the original authors (see sections Source and/or References) should be cited, along with this R package. To cite this package please use the following:

Handcock M, Hunter D, Butts C, Goodreau S, Krivitsky P, Morris M, Bojanowski M (2021). statnet.data: Network Datasets for the Statnet Suite. R package version 0.1-0, <URL: https://statnet.org>.

Source

Taken from UCINET IV and http://vlado.fmf.uni-lj.si/pub/networks/data/UciNet/UciData.htm#gama, which cites Hage & Harrary (1983), with corrections from Read (1954).

References

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.

See Also

Other directed networks: ecoli, emon, faux.desert.high, faux.dixon.high, g4, newcomb, samplk, sampson

Examples

## Not run: 
library(latentnet)
# 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)

## End(Not run)

statnet/statnet.data documentation built on Dec. 16, 2021, 5:54 p.m.