开始使用免费开始使用

Characterizing the network (II)

Let's continue recalling what you've learned before about node importances, by plotting the degree distribution of a network. This is the distribution of node degrees computed across all nodes in a network.

本练习是课程的一部分

Introduction to Network Analysis in Python

查看课程

练习说明

  • Plot the degree distribution of the GitHub collaboration network G. Recall that there are four steps involved here:
    • Calculating the degree centrality of G.
    • Using the .values() method of G and converting it into a list.
    • Passing the list of degree distributions to plt.hist().
    • Displaying the histogram with plt.show().

交互式实操练习

通过完成这段示例代码来试试这个练习。

# Import necessary modules
import matplotlib.pyplot as plt
import networkx as nx

# Plot the degree distribution of the GitHub collaboration network
____(list(____.____().____()))
____
编辑并运行代码