<｜begin▁of▁sentence｜>### Instruction:
As a private investigator, you have been hired to conduct an investigation related to a complex network of relationships. You need to extract meaningful insights from the network of common adjectives and nouns in the novel 'David Copperfield' represented as a GML file named 'adjnoun.gml'. In order to uncover the structure of this network, you are required to apply the Louvain community detection algorithm and compute the conductance, which is the fraction of total edge volume that points outside the community. This analysis will help you understand the interconnectedness of the words and their respective communities within the novel, providing valuable insights for your investigation.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Loading the adjacency graph
g = nx.read_gml('adjnoun.gml')

# Applying the Louvain algorithm for community detection
communities = algorithms.louvain(g)

# Computing the conductance for the detected communities
cond = evaluation.conductance(g, communities)

# Printing the conductance value
print(cond)
<|EOT|>
