[R] For Social Network Analysis-Graph Analysis - How to convert 2 mode data to 1 mode data?
Gabor Csardi
csardi at rmki.kfki.hu
Sat May 10 19:09:22 CEST 2008
Solomon, if i understand two-mode networks properly (they're bipartite, right?),
then this is not hard to do with igraph. Basically, for each vertex create an
order=2 neighborhood, and then create a graph from the adjacency list,
it is something like this:
two.to.one <- function(g, keep) {
neis <- neighborhood(g, order=2)
neis <- lapply(seq(neis), function(x) neis[[x]][ neis[[x]] != x-1]) ## drop self-loops
neis <- lapply(neis, function(x) x[ x %in% keep ]) ## keep only these
neis <- lapply(seq(neis), function(x) t(cbind(x-1, neis[[x]]))) ## create edge lists
neis[-keep-1] <- NULL ## these are not needed
neis <- matrix(unlist(neis), byrow=TRUE, nc=2) ## a single edge list
neis <- neis[ neis[,1] > neis[,2], ] ## count an edge once only
mode(neis) <- "character"
g2 <- graph.edgelist(neis, dir=FALSE)
V(g2)$id <- V(g2)$name ## 'id' is used in Pajek
g2
}
It does not check that the graph is indeed two-mode, and it keeps the
vertices given in the 'keep' argument. 'keep' is made of igraph vertex ids.
You can use it like this:
g <- graph.ring(10)
keep <- seq(0,8,by=2) ## we keep the 'even' vertices
g2 <- two.to.one(g, keep)
write.graph(two.to.one(g, keep), format="pajek", file="/tmp/a.net")
I haven't tested it much. We'll have a better function in the next igraph version.
Gabor
On Fri, May 09, 2008 at 03:37:05PM -0400, Messing, Solomon O. wrote:
> Hi,
>
>
>
> Does anyone know of a package in R that has a function to convert
> network data (e.g. an adjacency matrix or ) from 2-mode to 1-mode? I am
> conducting social network analysis. I know that Pajek has this function
> under Net --> Transform --> 2-mode to 1-mode --> Rows. I have searched
> the documentation under packages 'sna', 'network', 'igraph', and
> 'dynamicgraph' but I was not able to identify a comparable function.
>
>
>
> I would just export my data to Pajek and import it to R, but I'm going
> to have to generate hundreds of these graphs, so it would take quite a
> bit of time to do it this way.
>
>
>
> Thanks,
>
>
>
> Solomon
>
>
>
>
> [[alternative HTML version deleted]]
>
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--
Csardi Gabor <csardi at rmki.kfki.hu> UNIL DGM
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