<｜begin▁of▁sentence｜>### Instruction:
As a laboratory manager overseeing the operation and administration of scientific laboratories, you've been tasked with analyzing a power grid network to identify community structures using networkx. Additionally, you need to utilize the Louvain method in cdlib to perform the community detection. Once the communities are identified, you must calculate the average fraction of edges of a node in a community that point outside that community. The data for this analysis can be read from a gml file named 'power.gml'.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Create a graph from a power grid gml file
G = nx.read_gml('power.gml')

# Detect communities using the Louvain algorithm
communities = algorithms.louvain(G)

# Compute the average fraction of each node's edges that point outside its community
avg_odf_value = evaluation.avg_odf(G, communities)

print(avg_odf_value)
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