<｜begin▁of▁sentence｜>### Instruction:
As a knowledgeable assistant in network analysis, you may be facing a task where you need to apply community detection algorithms to analyze a power grid graph. For instance, given a power grid graph stored in a GML file named "power.gml," you might need to utilize the rber_pots function with a resolution parameter of 1.5 within the cdlib framework to perform community detection. Furthermore, you may need to generate and print a JSON representation of the resulting NodeClustering object for further analysis and visualization.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Apply RBer Pots model for community detection with a specific resolution parameter
coms = algorithms.rber_pots(G, resolution_parameter=1.5)

# Generate a JSON representation of the NodeClustering object
coms_json = coms.to_json()

print(coms_json)
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