Exploring Graphs.ipynb
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Explore Random Graphs Using NetworkX¶
In this example, we build a simple UI for exploring random graphs with NetworkX.
In [7]:
from IPython.html.widgets import interact
In [12]:
%matplotlib inline
import matplotlib.pyplot as plt
In [13]:
import networkx as nx
In [14]:
# 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()
In [16]:
interact(plot_random_graph, n=(2,30), m=(1,10), k=(1,10), p=(0.0, 1.0, 0.001),
generator={'lobster': random_lobster,
'power law': powerlaw_cluster,
'Newman-Watts-Strogatz': newman_watts_strogatz,
u'Erdős-Rényi': erdos_renyi,
});
