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Extract PageRank features

In this exercise, you will compute a few PageRank scores and add them as features to the network.

When personalizing, use the prior churners in the network as the restart vector. That is, include the argument personalized = V(network)$Churn.

The default damping value is 0.85.

This exercise is part of the course

Predictive Analytics using Networked Data in R

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Hands-on interactive exercise

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

# Compute the default PageRank score
V(network)$pr_0.85 <- page.rank(___)$vector
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