format
faux.mesa.high is a network object with 205 vertices (students, in this case)
and 203 undirected edges (mutual friendships). To obtain additional
summary information about it,
type summary(faux.mesa.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 based upon a model fit to data from one school community from
the AddHealth Study, Wave I (Resnick et al., 1997). It was constructed as
follows:
A vector representing the sex of each student in the school was
randomly re-ordered. The same was done with the students' response to
questions on race and grade. These three attribute vectors were
permuted independently. Missing values for each were randomly assigned
with weights determined by the size of the attribute classes in the school.
The following ergm formula was used to fit a model to the original
data:
~ edges + nodefactor("Grade") + nodefactor("Race") + nodefactor("Sex")
+ nodematch("Grade",diff=T) + nodematch("Race",diff=T)
+ nodematch("Sex",diff=F) + gwdegree(1.0,fixed=T)
+ gwesp(1.0,fixed=T) + gwdsp(1.0,fixed=T)
The resulting model fit was then applied to a network with actors
possessing the permuted attributes and with the same number of edges as in the
original data.
The processes for handling missing data and defining the race attribute
are described in Hunter, Goodreau & Handcock (2008).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
http://statnetproject.org.