1. Learn
    2. /
  2. Courses
    3. /
  3. Predictive Analytics using Networked Data in R
Connected

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.