python网络

import community
import networkx as nx
import matplotlib.pyplot as plt

#better with karate_graph() as defined in networkx example.
#erdos renyi don't have true community structure
G = nx.erdos_renyi_graph(30, 0.05)

#first compute the best partition
partition = community.best_partition(G)

#drawing
size = float(len(set(partition.values())))
pos = nx.spring_layout(G)
count = 0.
for com in set(partition.values()) :
    count = count + 1.
    list_nodes = [nodes for nodes in partition.keys()
                                if partition[nodes] == com]
    nx.draw_networkx_nodes(G, pos, list_nodes, node_size = 20,
                                node_color = str(count / size))


nx.draw_networkx_edges(G,pos, alpha=0.5)
plt.show()

首先一定要先安装好这三个库，community,networkx,matplotlib，这个很简单使用pip install就好。

但是在运行的过程中可能会出现这种错误“module 'community' has no attribute 'best_partition'。”

原因是缺少python-louvain.

再pip 安装就好。

结果如下图所示。