I am starting to use this interface now, I have some experience with Python but nothing extensive. I am calculating the transitivity and community structure of a small graph:
import networkx as nx
G = nx.read_edgelist(data, delimiter='-', nodetype=str)
nx.transitivity(G)
#find modularity
part = best_partition(G)
modularity(part, G)
I get the transitivity just fine, however - there is the following error with calculating modularity.
NameError: name 'best_partition' is not defined
I just followed the documentation provided by the networkx site, is there something I am doing wrong?
As far as I can tell best_partition
isn't part of networkx. It looks like you want to use https://sites.google.com/site/findcommunities/ which you can install from https://bitbucket.org/taynaud/python-louvain/src
Once you've installed community
try this code:
import networkx as nx
import community
import matplotlib.pyplot as plt
G = nx.random_graphs.powerlaw_cluster_graph(300, 1, .4)
nx.transitivity(G)
#find modularity
part = community.best_partition(G)
mod = community.modularity(part,G)
#plot, color nodes using community structure
values = [part.get(node) for node in G.nodes()]
nx.draw_spring(G, cmap = plt.get_cmap('jet'), node_color = values, node_size=30, with_labels=False)
plt.show()
edit: How I installed the community detection library
ryan@palms ~/D/taynaud-python-louvain-147f09737714> pwd
/home/ryan/Downloads/taynaud-python-louvain-147f09737714
ryan@palms ~/D/taynaud-python-louvain-147f09737714> sudo python3 setup.py install
I just met the same error NameError: name 'best_partition' is not defined
when using this example code.
This error occurs because I named my python file as networkx.py
, then when we execute this program
import networkx as nx
This program may import the networkx
we defined instead of the library. In the program, best_partition
is not defined. So this error occur.
Having same name with library is not appropriate. Maybe you should check this!