I am sorry for spamming this mailing lists with my newbie questions but I
have no other place to resort to! Of what I know, I am the only one at our
uni fiddling around with social networks so I have no other to ask!
My question concerns finding cohesive subgroups (cliques) in valued
undirectional data sets. I am currently experimenting with Freeman's EIES
data concerning messages sent/received between the 32 actors and I would
like to get a dendrogram or similar where I can see groups of people who
interact more with eachother than other. (I have symmetrized the data so
that it tells the total number of messages exchanges between dyads). As I
understand it, I am looking for cliques/n-cliques but as the data isn't
dichtonomous I can't get the cliques-tool to work for this data set. Do I
first have to do a cutoff of the data set at a specific threshold value? How
do I do that in UCINET?
In the EIES dataset, values range from 852 to zero. What cutoff-value should
I apply? Should I make several clique analyses with different cutoff-values?
Plenty of thanks in advance!
Carl Nordlund, BA, PhD student
Human Ecology Division