<｜begin▁of▁sentence｜>### Instruction:
As a grant coordinator, you have been tasked with utilizing the Fuzzy-Rough Community Detection (FRC-FGSN) algorithm in cdlib to analyze a network of American college football relationships. You need to apply the algorithm with specific parameters such as a community density coefficient of 1, a coupling coefficient of 0.5, and a granule radius of 3. Once the community structure is detected, you are required to generate a JSON representation of the identified communities. The data for this analysis is represented in a file named football.gml.
### Response:
import networkx as nx
from cdlib import algorithms

# Reading the graph
G = nx.read_gml('football.gml')

# Applying Fuzzy-Rough Community Detection on Fuzzy Granular model of Social Network
coms = algorithms.frc_fgsn(G, theta=1, eps=0.5, r=3)

# Generating a JSON representation of the community structure
communities_json = coms.to_json()

print(communities_json)
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