Compare Subscriber vs. Non-Subscriber Distances
Let's compare subscriber to non-subscriber graphs by distance. Remember we can think of subscribers as local Chicago residents who regularly use the bikes, whereas non-subscribers are likely to be more casual users or tourists. Also it's important to keep in mind that this graph is a representation of geography. Which graph do you think has a further geographic distance? Why?
get_diameter() and farthest_vertices() both provide the vertices in the graph that have the longest "shortest route" between them – get_diameter() provides all the intermediate vertices, whereas farthest_vertices() provides the end vertices and the number of nodes between them.
calc_physical_distance_m(), a function that takes in two station IDs as inputs and calculates the physical distance between the stations (in meters), is also provided. You can view the function by running calc_physical_distance_m in the console.
This exercise is part of the course
Case Studies: Network Analysis in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Get the diameter of the subscriber graph
get_diameter(___)
# Get the diameter of the customer graph
get_diameter(___)
# Find the farthest vertices of the subscriber graph
farthest_vertices(___)
# Find the farthest vertices of the customer graph
farthest_vertices(___)