Visualizing Churners
In the previous exercises, you noticed that it can be difficult to visualize a large network. Now you will visualize only the churners in the network by conditioning on the churn attribute.
This exercise is part of the course
Predictive Analytics using Networked Data in R
Exercise instructions
- Create a new
igraph
object calledchurnerNetwork
.- Use the function
induced_subgraph()
to generate a subgraph of the already existingnetwork
. - Select the nodes that have the node attribute
churn
equal to 1.
- Use the function
- Visualize
churnerNetwork
usingplot()
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a subgraph with only churners
churnerNetwork <- ___(network,
v = V(network)[which(___(network)$___ == 1)])
# Plot the churner network
plot(___, vertex.label = NA, vertex.size = 2)