Color network nodes according to attribute using igraph in R while simultaneously displaying Girvan Newman communities

Question

I am trying to display a social network with Girvan Newman communities using igraph in R. I additionally want to distinguish the nodes according to attribute data (eg, male nodes blue, female nodes pink). I know how to do this in a typical graph, but I'm having trouble executing this successfully while using the Girvan Newman algorithm. Here is my code so far:

    fgn = edge.betweenness.community (fmg, directed = TRUE, edge.betweenness = TRUE, merges = TRUE, bridges = TRUE, modularity = TRUE, membership = TRUE)

    plot(fgn,fmg) 

If I were simply plotting the network without employing the Girvan Newman algorithm, I would distinguish the nodes in this way:

    V(fmg)[V(fmg)$gender== 1]$color <- "dodgerblue"
    V(fmg)[V(fmg)$gender== 2]$color <- "pink"

Unfortunately, I'm not sure how to distinguish the nodes appropriately while using the algorithm, though I've tried. Any specific advice would be much appreciated.

Answer 1

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