Coloring nodes

In this exercise, you will color the nodes in the network depending on the churn status. The customers who have churned will be colored red and the non-churners will be colored white. Then you will visualize the network again.

This exercise is part of the course

Predictive Analytics using Networked Data in R

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Exercise instructions

Add a node attribute called color that is the same as V(network)$churn.
In V(network)$color, use the gsub() function to replace the string "1" with the string "red".
In V(network)$color, use the gsub() function to replace the string "0" with the string "white".
Visualize the network again using the plot() function.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Add a node attribute called color
V(network)$___ <- V(network)$churn

# Change the color of churners to red and non-churners to white
V(network)$color <- gsub(___, "red", V(network)$color) 
V(network)$color <- gsub(___, "white", V(network)$color)

# Plot the network
___(___, vertex.label = NA, edge.label = NA,
    edge.color = "black", vertex.size = 2)

Edit and Run Code