<｜begin▁of▁sentence｜>### Instruction:
As a statistician, you are in charge of applying statistical methods to analyze data and support decision-making in various fields. In this scenario, imagine you are working for a research institute focusing on political science. Your team has been studying the relationships between different books on US politics, represented as a graph in a GML file named polbooks.gml. Your task is to utilize the significance_communities function in the cdlib library to conduct community detection on this graph to identify distinct clusters of books. After performing the community detection, you are required to convert the resulting NodeClustering object into JSON format and display the JSON representation of the clustering result for further analysis and visualization. This project aims to uncover underlying patterns and connections within the realm of US politics literature.
### Response:
import networkx as nx
from cdlib import algorithms

# Read the graph from the GML file
G = nx.read_gml('polbooks.gml')

# Perform significance community detection
communities = algorithms.significance_communities(G)

# Convert to JSON
communities_json = communities.to_json()
print(communities_json)
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