<｜begin▁of▁sentence｜>### Instruction:
As a literary agent, a key part of my role is to navigate complex contracts and negotiate deals on behalf of my clients. In this instance, I am assisting an author who has written a book about the dynamics of online communities and is seeking to analyze the structure of the internet using network analysis. To achieve this, I need to leverage a specialized algorithm called Louvain, and compute the average transitivity of the detected communities within a large dataset represented by the GML file named as-22july06.gml. This analysis will provide valuable insights into the interconnectedness of online communities, aiding in the author's research and writing process.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

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

# Perform community detection using the Louvain method
communities = algorithms.louvain(G)

# Compute the average transitivity for the detected communities
avg_transitivity_score = evaluation.avg_transitivity(G, communities)

# Print the average transitivity score
print(avg_transitivity_score.score)
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