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  3. Predictive Analytics using Networked Data in R

Exercise

Counting nodes and computing connectance

In this exercise, you will count the number of each type of node using the customers dataframe. The churn column has two different values:

  • 0 for non-churners
  • 1 for churners

You will also compute the network's connectance using the formula \(p=\frac{2E}{N(N-1)}\) where \(N\) is the number of nodes and \(E\) the number of edges in the network.

Instructions

100 XP
  • Count the number of churn nodes by conditioning on customers$churn.
  • Count the number of non-churn nodes by conditioning on customers$churn.
  • Count the total number of nodes and name the variable nodes.
  • Compute the network's connectance using the formula for \(p\) shown above. You can use edges from the previous exercise.