zach: Karate club social network of Zachary (1977)

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

Description

Zachary (1977) reported observations of social relations in a university karate club

Usage

zach

Format

Undirected network object with 34 nodes and 78 edges. Vertex attributes: club, faction, faction.id, role. Edge attributes: contexts. The vertex attributes are:

• club – the club in which the actor ended up

• faction – faction alignment of the actor as recorded by Zachary

• faction.id – faction alignment coded numerically, as -2 (strongly Mr. Hi's), -1 (weakly Mr. Hi's), 0 (neutral), +1 (weakly John's), and +2 (strongly John's)

• role – role of the actor in the network (Instructor, Member, or President)

The edge attributes are:

• contexts – the number of contexts of interaction for that pair of actors.

Details

Zachary (1977) reported observations of social relations in a university karate club, with membership that varied between 50 and 100, of whom 34 individuals: 32 ordinary club members and officers, the club president ("John A."), and the part-time instructor ("Mr. Hi"); consistently interacted outside of the club. Over the course of the study, the club divided into two factions, and, ultimately, split into two clubs, one led by Hi and the other by John and the original club's officers. The split was driven by a disagreement over whether Hi could unilaterally change the level of compensation for his services.

Zachary identifies the faction with which each of the 34 actors was aligned and how strongly and reports, for each pair of actors, the count of social contexts in which they interacted. The 8 contexts recorded were

• academic classes at the university

• Hi's private karate studio in his night classes

• Hi's private karate studio where he taught on weekends

• student-teaching at Hi's studio

• the university rathskeller (bar) located near the karate club

• a bar located near the university campus

• open karate tournaments in the area; and

• intercollegiate karate tournaments.

The highest number of contexts of interaction for a pair of individuals that was observed was 7.

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

Sociomatrix in machine-readable format was retrieved from http://vlado.fmf.uni-lj.si/pub/networks/data/ucinet/ucidata.htm originally coming from Zachary (1977)

References

Zachary, WW (1977). An Information Flow Model for Conflict and Fission in Small Groups. Journal of Anthropological Research, 33(4), 452-473.

See Also

Other undirected networks: davis, ecoli, faux.magnolia.high, faux.mesa.high, florentine, kapferer, molecule

Examples

if(requireNamespace("network", quietly=TRUE)){
oldpal <- palette()
palette(gray((1:8)/8))
plot(zach, vertex.col="role", displaylabels=TRUE, edge.col="contexts")
palette(oldpal)
}

## Not run: 
# Fit a binomial-reference ERGM.
zach.fit1 <- ergm(zach~nonzero+sum+nodefactor("role",base=2)+absdiffcat("faction.id"),
                  response="contexts", reference=~Binomial(8),
                  control=control.ergm(MCMLE.trustregion=1000))
mcmc.diagnostics(zach.fit1)
summary(zach.fit1)

# This is much slower.
zach.fit2 <- ergm(zach~nonzero+sum+nodefactor("role",base=2)+transitiveties,
                  response="contexts", reference=~Binomial(8),
                  control=control.ergm(MCMLE.trustregion=1000),
                  eval.loglik=FALSE)
mcmc.diagnostics(zach.fit2)
summary(zach.fit2)

## End(Not run)

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