<｜begin▁of▁sentence｜>### Instruction:
Given the political blogs graph data in a GML file named 'polblogs.gml', how can you use the Louvain community detection algorithm in cdlib to identify communities within the network, and subsequently use cdlib's visualization tools to plot the network clusters with nodes color-coded by their community memberships?
### Response:
from cdlib import algorithms, viz
import networkx as nx

# Read the political blogs graph
G = nx.read_gml('polblogs.gml')

# Perform community detection using the Louvain algorithm
coms = algorithms.louvain(G)

# Get the position of the nodes using spring layout
pos = nx.spring_layout(G)

# Plot the network with node color coding for the detected communities
viz.plot_network_clusters(G, coms, pos)
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