Feedbacks for Note12

[SerenaQYHuang]

import matplotlib
color = matplotlib.cm.Accent
#import color map, there are many color maps, you can checkout the color maps by the following:
# import matplotlib.cm as cm
# dir(cm)

plt.figure(figsize=(15, 15))
pos =nx.spring_layout(g)
nx.draw_networkx_nodes(g, pos, node_color='#ccccff', alpha=0.5)
nx.draw_networkx_edges(g, pos, width=1.0, alpha=0.3)
labels = dict([(n, n) for n in **g1**.nodes])
_ = nx.draw_networkx_labels(**g1**, pos, labels=labels, font_color='#666666')

for group in range(1, 20):
    nodelist = [n for n in g.nodes if g.nodes[n]['group'] == group]
    # If g.nodes's group = 1, add those nodes into the nodelist. They will be the same color 1 . If g.nodes's group = 2, they will be added to another nodelist ,and be colored 2.
    #print(nodelist)
    nx.draw_networkx_nodes(**g1**, pos, nodelist=nodelist, node_color=color(group), alpha=0.8)

Please be noted that g1 is not defined here. I think we should define it first

[SerenaQYHuang]

In the Clustering coefficient part, I think explanations will be needed. For beginners, it's a bit difficult to get it. For example, what are "XXX","XXX","XXX"? If they are pseudo codes, how come I can still get a number running this code? (The output is 0.5731367499320134)

numbernx.algorithms.clustering(g,['XXX','XXX','XXX'])
nx.average_clustering(g)

And what does it mean by the numbers in the result in this following piece of code? Why is Champtercier 0 and Myriel 0.666666666667?

gorithms.clustering(g, ['Myriel', 'Champtercier', 'Count', 'Cravatte', 'Napoleon', 'Geborand', 'CountessdeLo', 'OldMan'])
# {'Champtercier': 0,
#  'Count': 0,
#  'CountessdeLo': 0,
#  'Cravatte': 0,
#  'Geborand': 0,
#  'Myriel': 0.06666666666666667,
#  'Napoleon': 0,
#  'OldMan': 0}
nx.average_clustering(g)
0.5731367499320134
nx.average_clustering(nx.complete_graph(5))
1.0

[SerenaQYHuang]

I've got an error with the following codes:

from networkx.algorithms import community
communities = list(community.girvan_newman(g))
#communities[0]

plt.figure(figsize=(15, 15))
pos =nx.spring_layout(g)
#nx.draw_networkx_nodes(g, pos, node_color='#ccccff', alpha=0.5)
nx.draw_networkx_edges(g, pos, width=1.0, alpha=0.3)

for i in range(0, len(communities)):
    nodelist = communities[i]
    print(nodelist)
    nx.draw_networkx_nodes(g, pos, nodelist=nodelist, node_color=color(i), alpha=0.8)
    labels = dict([(n, '%s:%s' % (n, g.nodes[n]['group'])) for n in nodelist])
    nx.draw_networkx_labels(g, pos, labels=labels, font_color='#666666')

Output:

[ChicoXYC]

import matplotlib
color = matplotlib.cm.Accent
#import color map, there are many color maps, you can checkout the color maps by the following:
# import matplotlib.cm as cm
# dir(cm)

plt.figure(figsize=(15, 15))
pos =nx.spring_layout(g)
nx.draw_networkx_nodes(g, pos, node_color='#ccccff', alpha=0.5)
nx.draw_networkx_edges(g, pos, width=1.0, alpha=0.3)
labels = dict([(n, n) for n in **g1**.nodes])
_ = nx.draw_networkx_labels(**g1**, pos, labels=labels, font_color='#666666')

for group in range(1, 20):
    nodelist = [n for n in g.nodes if g.nodes[n]['group'] == group]
    # If g.nodes's group = 1, add those nodes into the nodelist. They will be the same color 1 . If g.nodes's group = 2, they will be added to another nodelist ,and be colored 2.
    #print(nodelist)
    nx.draw_networkx_nodes(**g1**, pos, nodelist=nodelist, node_color=color(group), alpha=0.8)

Please be noted that g1 is not defined here. I think we should define it first

modified

[ChicoXYC]

I've got an error with the following codes:

from networkx.algorithms import community
communities = list(community.girvan_newman(g))
#communities[0]

plt.figure(figsize=(15, 15))
pos =nx.spring_layout(g)
#nx.draw_networkx_nodes(g, pos, node_color='#ccccff', alpha=0.5)
nx.draw_networkx_edges(g, pos, width=1.0, alpha=0.3)

for i in range(0, len(communities)):
    nodelist = communities[i]
    print(nodelist)
    nx.draw_networkx_nodes(g, pos, nodelist=nodelist, node_color=color(i), alpha=0.8)
    labels = dict([(n, '%s:%s' % (n, g.nodes[n]['group'])) for n in nodelist])
    nx.draw_networkx_labels(g, pos, labels=labels, font_color='#666666')

Output:

try to change communities value

communities = list(community.label_propagation_communities(g))

for another question, I will try my best updating the explanation.

[SerenaQYHuang]

I've got an error with the following codes:

from networkx.algorithms import community
communities = list(community.girvan_newman(g))
#communities[0]

plt.figure(figsize=(15, 15))
pos =nx.spring_layout(g)
#nx.draw_networkx_nodes(g, pos, node_color='#ccccff', alpha=0.5)
nx.draw_networkx_edges(g, pos, width=1.0, alpha=0.3)

for i in range(0, len(communities)):
    nodelist = communities[i]
    print(nodelist)
    nx.draw_networkx_nodes(g, pos, nodelist=nodelist, node_color=color(i), alpha=0.8)
    labels = dict([(n, '%s:%s' % (n, g.nodes[n]['group'])) for n in nodelist])
    nx.draw_networkx_labels(g, pos, labels=labels, font_color='#666666')

Output:

try to change communities value

communities = list(community.label_propagation_communities(g))

It doesn't work. Instead, a new problem occurred.

Actually the previous error didn't occur here but in the last several lines:

for i in range(0, len(communities)):
    nodelist = communities[i]
    print(nodelist)
    nx.draw_networkx_nodes(g, pos, nodelist=nodelist, node_color=color(i), alpha=0.8)
    labels = dict([(n, '%s:%s' % (n, g.nodes[n]['group'])) for n in nodelist])
    nx.draw_networkx_labels(g, pos, labels=labels, font_color='#666666')

[ChicoXYC]

After talking with @SerenaQYHuang privately, we just solved the problem. Just upgrade the networkx module from 2.0 to 2.2