hi,

I have 6 networks derived from different algorithms like below

head(mycountsaracne[,1:4])

      AT1G01060 AT1G01170 AT1G01260 AT1G01380

AT1G01060 0 0 0 0

AT1G01170 0 0 0 0

AT1G01260 0 0 0 0

AT1G01380 0 0 0 0

AT1G01490 0 0 0 0

AT1G01500 0 0 0 0

dim(mycountsaracne)

[1] 2857 2857

library(igraph)

adj_1 <- as.matrix(mycountsaracne)

g_1 <- graph.adjacency(adj_1, mode="undirected", weighted=NULL, diag=TRUE)

adj_2 <- as.matrix(mycountsclr)

g_2 <- graph.adjacency(adj_2, mode="undirected", weighted=NULL, diag=TRUE)

g_sim <- graph.intersection(g_1, g_2, byname = "auto", keep.all.vertices = FALSE)

adj_3 <- as.matrix(pcor.dyn)

g_3 <- graph.adjacency(adj_3, mode="undirected", weighted=T, diag=F)

g_sim <- graph.intersection(g_sim,g_3, byname = "auto", keep.all.vertices = FALSE)

adj_4 <- as.matrix(mycountsGENEI3)

g_4 <- graph.adjacency(adj_4, mode="undirected", weighted=NULL, diag=TRUE)

g_sim <- graph.intersection(g_sim,g_4, byname = "auto", keep.all.vertices = FALSE)

adj_5 <- as.matrix(mycountssilencing)

g_5 <- graph.adjacency(adj_5, mode="undirected", weighted=NULL, diag=TRUE)

g_sim <- graph.intersection(g_sim,g_5, byname = "auto", keep.all.vertices = FALSE)

adj_6 <- as.matrix(mycountsdeconvolution)

g_6 <- graph.adjacency(adj_6, mode="undirected", weighted=NULL, diag=TRUE)

g_sim <- graph.intersection(g_sim,g_6, byname = "auto", keep.all.vertices = FALSE)

adj_sim <- get.adjacency(g_sim,type="both")

g_araclr <- graph.adjacency(adj_sim,mode = "undirected",weighted = T)

edge_araclr <- get.data.frame(g_araclr,what = "edges")

but I only could take intersection between the the third first networks and by adding the forth one theedge_araclr is empty

please help me

thank you

Angel,

I'd be glad to help.  Can you provide a small, focused and reproducible example?   

 - Paul