Graphing a network in igraph or other packages in R that has each node dependent on covariates?

I currently have a network in R, available in an adjacency matrix, edgelist, and network format, that I would like to plot based on the covariates of each of the nodes. I have three covariates, age, class, and score, with age being 0 or 1, class ranging from 1 to 50, and score from 0 to 100. I am wondering which packages in R might facilitate plotting nodes and their network edges with node colors depending on class, the symbol of a node depending on age, and the size of a node dependent on the score? Do there exists such methods in igraph? Thanks!

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1 Answer
1

Here is an example using igraph. Since you do not provide any data, I illustrate with some randomly generated data.

igraph

library(igraph)

set.seed(12)
g = erdos.renyi.game(10,0.33)

V(g)$age = sample(0:1, 10, replace=TRUE)
V(g)$class = sample(50, 10, replace=TRUE)
V(g)$score = sample(0:100, 10, replace=TRUE)

plot(g, vertex.shape = c("circle", "square")[V(g)$age + 1],
vertex.color = rainbow(50)[V(g)$class],
vertex.size = round(sqrt(V(g)$score+25)),
vertex.label.dist = 1.5)


Comments

I question that one can distinguish 50 colors to read 50 values of class from the graph.

You want the node size to depend on score which goes from 0 to 100. You surely don't want any node of size zero and you surely don't want any node to be 100 times as big as another node. So I used size = round(sqrt(V(g)$score+25)) to avoid these issues.

size = round(sqrt(V(g)$score+25))

Because it was hard to read the labels when the nodes were very small, I moved the labels a bit to the side with vertex.label.dist = 1.5

vertex.label.dist = 1.5

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