<｜begin▁of▁sentence｜>### Instruction:
As a paralegal, I can assist in using networkx to load the power grid graph from a GML file named power.gml. Then, I can help with implementing the Louvain method in cdlib to perform community detection within the power grid network. Additionally, I can assist in computing the number of edges per community node that point outside the cluster, which can aid in analyzing the connections between different network communities.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load the graph
G = nx.read_gml('power.gml')

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

# Compute the expansion (number of edges per community node that point outside the cluster)
expansion_score = evaluation.expansion(G, communities)

# Print the expansion score
print(expansion_score)
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