<｜begin▁of▁sentence｜>### Instruction:
As a network analysis specialist, you've been tasked with employing the FRC-FGSN community detection algorithm from the cdlib library to identify the fuzzy-rough communities within a network representing the books about US politics. This network is stored in a GML file named "polbooks.gml". Using the specified parameters (theta=1, eps=0.5, r=3), your goal is to execute the algorithm and then produce a JSON representation of the resulting FuzzyNodeClustering object.

This task will enable you to gain insights into the underlying community structures within the network data, which could be valuable for understanding the patterns of connections and influences among the various books related to US politics.
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from a polbooks dataset
G = nx.read_gml('polbooks.gml')

# Apply FRC-FGSN community detection algorithm with specific parameters
coms = algorithms.frc_fgsn(G, theta=1, eps=0.5, r=3)

# Generate JSON representation of the FuzzyNodeClustering object
coms_json = coms.to_json()
print(coms_json)
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