<｜begin▁of▁sentence｜>### Instruction:
As a mechanical engineer, you have been tasked with analyzing the network structure of a complex transportation system to identify potential clusters or communities of closely connected components. Using the networkx library in Python, you can apply the Louvain method for community detection to the system's connectivity data. Once the communities have been identified, calculate and report the average transitivity score for each community, as this will provide valuable insights into the resilience and interconnectedness of the different clusters within the transportation system. This analysis will help in understanding the robustness and potential vulnerabilities of the overall network.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph
G = nx.read_gml('lesmis.gml')

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

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

# Print the result
print(scd.score)
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