使用 NetworkX 探索随机图

在这个例子中，构建了简单的用户界面，用于使用 NetworkX 探索随机图。

# Imports for JupyterLite
%pip install -q ipywidgets matplotlib networkx

Note: you may need to restart the kernel to use updated packages.

%matplotlib inline
import matplotlib.pyplot as plt

import networkx as nx

# wrap a few graph generation functions so they have the same signature

def random_lobster(n, m, k, p):
    return nx.random_lobster(n, p, p / m)

def powerlaw_cluster(n, m, k, p):
    return nx.powerlaw_cluster_graph(n, m, p)

def erdos_renyi(n, m, k, p):
    return nx.erdos_renyi_graph(n, p)

def newman_watts_strogatz(n, m, k, p):
    return nx.newman_watts_strogatz_graph(n, k, p)

def plot_random_graph(n, m, k, p, generator):
    g = generator(n, m, k, p)
    nx.draw(g)
    plt.show()

interact(plot_random_graph, n=(2,30), m=(1,10), k=(1,10), p=(0.0, 0.99, 0.001),
         generator=[
             ('lobster', random_lobster),
             ('power law', powerlaw_cluster),
             ('Newman-Watts-Strogatz', newman_watts_strogatz),
             (u'Erdős-Rényi', erdos_renyi),
         ]);