Exercise

# Degree centrality distribution of project nodes

Now it's time to plot the degree centrality distribution for the `'projects'`

partition of `G`

. The steps to do this are exactly the same as in the previous exercise. For your convenience, `matplotlib.pyplot`

has been pre-imported as `plt`

.

Go for it!

Instructions

**100 XP**

- Obtain a list called
`project_nodes`

corresponding to the`'projects'`

nodes of`G`

. - Using the
`nx.degree_centrality()`

function, compute the degree centralities for each node in`G`

. Store the result as`dcs`

. - Use a list comprehension to compute the degree centralities for each node in
`project_nodes`

. Store the result as`project_dcs`

. - Plot a histogram of the degree distribution of projects, using
`plt.hist()`

and`project_dcs`

.