Description Usage Format Licenses and Citation Source References See Also
This data set represents a simulation of an in-school friendship network.
The network is named faux.magnolia.high
because the school commnunities on
which it is based are large and located in the southern US.
1 |
faux.magnolia.high
is a network
object
with 1461 vertices (students, in this case) and 974 undirected edges (mutual
friendships). To obtain additional summary information about it, type
summary(faux.magnolia.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 based upon a model fit to data from two school communities from the AddHealth Study, Wave I (Resnick et al., 1997). It was constructed as follows:
The two schools in question (a junior and senior high school in the same community) were combined into a single network dataset. Students who did not take the AddHealth survey or who were not listed on the schools' student rosters were eliminated, then an undirected link was established between any two individuals who both named each other as a friend. All missing race, grade, and sex values were replaced by a random draw with weights determined by the size of the attribute classes in the school.
The following ergm::ergm()
model was fit to the original data:
magnolia.fit <- ergm( magnolia ~ edges + nodematch("Grade",diff=T) + nodematch("Race",diff=T) + nodematch("Sex",diff=F) + absdiff("Grade") + gwesp(0.25,fixed=T), burnin=10000, interval=1000, MCMCsamplesize=2500, maxit=25, control=control.ergm(steplength=0.25) )
Then the faux.magnolia.high
dataset was created by simulating a single
network from the above model fit:
faux.magnolia.high <- simulate (magnolia.fit, nsim=1, burnin=100000000, 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 undirected networks:
davis
,
ecoli
,
faux.mesa.high
,
florentine
,
kapferer
,
molecule
,
zach
Other high school networks:
faux.desert.high
,
faux.dixon.high
,
faux.mesa.high
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