<｜begin▁of▁sentence｜>### Instruction:
Given the Condensed Matter collaborations graph from 2005 which you can read from a GML file named cond-mat-2005.gml, can you use the Louvain algorithm in cdlib to perform community detection? After detecting the communities, can you save the community structure to a CSV file and then read it back into a NodeClustering object?
### Response:
import networkx as nx
from cdlib import algorithms, readwrite

# Load an example graph
G = nx.read_gml('cond-mat-2005.gml')

# Detect communities using the Louvain algorithm
communities = algorithms.louvain(G)

# Write the detected communities to a CSV file
readwrite.write_community_csv(communities, 'communities.csv', delimiter=',')

# Read the community structure from the CSV file
communities_from_csv = readwrite.read_community_csv('communities.csv', delimiter=',', nodetype=str)
<|EOT|>
