format
faux.desert.high is a network object with 107 vertices
(students, in this case) and 439 directed edges (friendship nominations). To
obtain additional summary information about it, type
summary(faux.desert.high).
The vertex attributes are Grade, Sex, and Race. The Grade
attribute has values 7 through 12, indicating each student's grade in school.
The 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.)source
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:
http://www.cpc.unc.edu/projects/addhealth/codebooks/wave1/structur.zip.
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 model was fit to the original data:
desert.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.desert.high dataset was created by simulating a single network
from the above model fit:
faux.desert.high <- simulate(desert.fit, nsim=1, burnin=1e+8,
constraint = "edges")Licenses and Citation
If the source of the data set does not specified otherwise,
this data set is protected by the Creative Commons License
http://creativecommons.org/licenses/by-nc-nd/2.5/.
When publishing results obtained using this data set, the original authors
(Resnick et al, 1997) should
be cited. In addition this package should be cited as:
Mark S. Handcock, David R. Hunter, Carter T. Butts, Steven M. Goodreau,
and Martina Morris. 2003
statnet: Software tools for the Statistical Modeling of Network Data
statnet.org.