<｜begin▁of▁sentence｜>### Instruction:
As a geneticist, I analyze genes, heredity, and genetic variation to comprehend biological traits and diseases. In this context, I examine the Internet topology using data retrieved from a gml file named as-22july06.gml. To enhance my research, I aim to implement the Louvain method in cdlib for community detection. Furthermore, I'm interested in calculating the cut ratio, which represents the proportion of existing edges leaving the community compared to all possible edges.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Create a graph
G = nx.read_gml('as-22july06.gml')

# Apply the Louvain community detection algorithm
c = algorithms.louvain(G)

# Compute the cut ratio (fraction of existing edges leaving the community)
cut_ratio = evaluation.cut_ratio(G, c, summary=True)

print(cut_ratio.score)
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