Description Usage Format Licenses and Citation Source References See Also
This data set represents a simulation of a directed in-school friendship
network. The network is named faux.dixon.high
.
1 |
faux.dixon.high
is a network
object
with 248 vertices (students, in this case) and 1197 directed edges
(friendship nominations). To obtain additional summary information about it,
type summary(faux.dixon.high)
.
The vertex attributes are:
Grade
– attribute has values 7 through 12, indicating each student's
grade in school
Sex
Race
– attribute is based on the answers to two questions, one on
Hispanic identity and one on race, and takes six possible values: White
(non-Hisp.), Black (non-Hisp.), Hispanic, Asian (non-Hisp.), Native American,
and Other (non-Hisp.)
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>.
The data set is simulation based upon an ergm model fit to data from one school community from the AddHealth Study, Wave I (Resnick et al., 1997). It was constructed as follows:
The school in question (a single school with 7th through 12th grades) was selected from the Add Health "structure files." Documentation on these files can be found here: https://addhealth.cpc.unc.edu/documentation/codebooks/.
The stucture file contains directed out-ties representing each instance of a student who named another student as a friend. Students could nominate up to 5 male and 5 female friends. Note that registered students who did not take the AddHealth survey or who were not listed by name on the schools' student roster are not included in the stucture files. In addition, we removed any students with missing values for race, grade or sex.
The following ergm::ergm()
model was fit to the original data:
dixon.fit <- ergm( original.net ~ edges + mutual + absdiff("grade") + nodefactor("race", base=5) + nodefactor("grade", base=3) + nodefactor("sex") + nodematch("race", diff = TRUE) + nodematch("grade", diff = TRUE) + nodematch("sex", diff = FALSE) + idegree(0:1) + odegree(0:1) + gwesp(0.1,fixed=T), constraints = ~bd(maxout=10), control = control.ergm( MCMLE.steplength = .25, MCMC.burnin = 100000, MCMC.interval = 10000, MCMC.samplesize = 2500, MCMLE.maxit = 100 ), verbose=T )
Then the faux.dixon.high dataset was created by simulating a single network from the above model fit:
faux.dixon.high <- simulate(desert.fit, nsim=1, burnin=1e+8, constraint = "edges")
Resnick M.D., Bearman, P.S., Blum R.W. et al. (1997). Protecting adolescents from harm. Findings from the National Longitudinal Study on Adolescent Health, Journal of the American Medical Association, 278: 823-32.
Other directed networks:
ecoli
,
emon
,
faux.desert.high
,
g4
,
newcomb
,
samplk
,
sampson
,
tribes
Other high school networks:
faux.desert.high
,
faux.magnolia.high
,
faux.mesa.high
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