<｜begin▁of▁sentence｜>### Instruction:
As an experienced network analyst working in the energy sector, I have been asked to conduct a community detection analysis on the power grid network to identify groups of structurally similar components. I have access to the Power grid graph data stored in a GML file named power.gml. To accomplish this, I need to utilize the SCAN function available in the cdlib library for community detection. Once the communities are identified, I also need to convert the resultant communities into a JSON format for further analysis and visualization.
### Response:
from cdlib import algorithms
import networkx as nx

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

# Apply the SCAN algorithm for community detection
communities = algorithms.scan(G, epsilon=0.7, mu=3)

# Generate JSON representation of the detected communities
communities_json = communities.to_json()
print(communities_json)
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