[statnet_help] Degree by attribute in bipartite networks

[F. Benjamin Rosche via statnet_help]

Hi everyone!

I have a bipartite network of students selecting classes:

g <-
  network(
    data.frame(from=c(1,2,3), to=4), # 3 students selecting 1 class
    matrix.type="edgelist",
    vertex.attr = data.frame(id=1:4, race=c("B", "W", "W", NA)), # race as
a student attribute
    directed = F,
    bipartite = T
  )

gplot(
  g,
  gmode="twomode",
  usearrows = FALSE,
  label = c("B", "W", "W", NA),
  displaylabels = T,
)

I would like to measure how often, say, Black students are the only Black
student in class. In the example, the Black student is the only Black
student in the class.

I can't operationalize this statistic, however. I tried:

summary(g ~ F(~b1factor("race", levels="B"), ~b2degree(1))) # doesn't work
because b2degree is not a dyad-independent term.

summary(g ~ !b1nodematch("race", levels="B")) # NOT operator doesn't work

Is there a way to operationalize this statistic?

Thank you very much,

Ben
--
*Benjamin Rosche, Ph.D.*
Office of Population Research
Princeton University / benrosche.com
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