Using the R igraph package, I am trying to compare a set of similar network partitions representing cohorts. Each network is undirected and consists of the same (n=150) nodes connected differently for each cohort. Since I have 11 cohorts that I would like to compare, it would be ideal if I could implement this procedure in a loop, but I can't quite figure out how.
If I have the network objects g1 and g2, I can manually compare them:
compare(infomap.community(g1), infomap.community(g2), method='nmi')
I've figured out that I can save the networks in a list, but then I won't be able to compare them either by
network_list <- list(g1, g2)
compare(infomap.community(network_list[1]), infomap.community(network_list[2]), method='nmi')
Which produces the error "Error in infomap.community(test[1]) : Not a graph object", or by
community_object_list <- list(infomap.community(g1), infomap.community(g2))
compare(community_object_list[1], community_object_list[2])
Producing the error "Error in i_compare(comm1, comm2, method) : (list) object cannot be coerced to type 'double'"
Does anyone know how to fix this, or can think of another way to do it?
Thanks