43 lines
1.2 KiB
R
43 lines
1.2 KiB
R
source("Schrick-Noah_Simulated-Data.R")
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if (!require("igraph")) install.packages("igraph")
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library(igraph)
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if (!require("Matrix")) install.packages("Matrix")
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library(Matrix) # bdiag
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sim_graph_data <- function(){
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npc <-25 # nodes per cluster
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n_clust <- 4 # 4 clusters with 25 nodes each
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# no clusters
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g0 <- erdos.renyi.game(npc*n_clust, 0.2)
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plot(g0)
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matlist = list()
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for (i in 1:n_clust){
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matlist[[i]] = get.adjacency(erdos.renyi.game(npc, 0.2))
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}
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# merge clusters into one matrix
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mat_clust <- bdiag(matlist) # create block-diagonal matrix
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## the following two things might not be necessary
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# check for loner nodes, connected to nothing, and join them to something
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k <- rowSums(mat_clust)
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node_vector <- seq(1,npc*n_clust)
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for (i in node_vector){
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if (k[i]==0){ # if k=0, connect to something random
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j <- sample(node_vector[-i],1)
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mat_clust[i,j] <- 1
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mat_clust[j,i] <- 1
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}
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}
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node_colors <- c(rep("red",npc), rep("green",npc), rep("blue",npc), rep("orange",npc))
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g1 <- graph_from_adjacency_matrix(mat_clust, mode="undirected", diag=F)
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plot(g1, vertex.color=node_colors)
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### Dataset with g1
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bundled_graph_data <- create_data(graph.structure=g1)
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return(bundled_graph_data)
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} |