<｜begin▁of▁sentence｜>### Instruction:
As a research assistant in a veterinary research lab, you have access to a collaboration network data file named 'cond-mat-2005.gml' representing your lab's collaborative projects for the year 2005. You are interested in analyzing this network to identify distinct research communities using the Louvain method. By using the cdlib library, you aim to calculate the cut ratio for each community, which measures the fraction of existing edges leaving the community. This analysis will provide valuable insights into the interconnectivity and division of research areas within the lab's collaborative network.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph
G = nx.read_gml('cond-mat-2005.gml')

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

# Compute the cut ratio
cut_ratio_value = evaluation.cut_ratio(G, communities)

print(cut_ratio_value)
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