Visualize the degree centrality distribution of the students projection

In this exercise, you will visualize the degree centrality distribution of the students projection. This is a recap of two previous concepts you've learned: degree centralities, and projections.

Get the nodes of the 'student' partition into a list called student_nodes.
- Use a list comprehension to do this, iterating over all the nodes of G (including the metadata), and checking to see if the 'bipartite' keyword of d equals 'student'.
Create the students nodes projection as a graph called G_students. Use the nx.bipartite.projected_graph() function to do this. Be sure to specify the keyword argument nodes=student_nodes.
Calculate the degree centrality of G_students using nx.degree_centrality(). Store the result as dcs.
Plot the histogram of degree centrality values.

Take Hint (-30 XP)

Exercise

Visualize the degree centrality distribution of the students projection

Instructions