<｜begin▁of▁sentence｜>### Instruction:
As a network analysis specialist, you are requested by a high-energy physics research institute to analyze collaborations among researchers in the field. You have been provided with a dataset stored in a GML file named 'hep-th.gml', representing the connections between researchers. The institute wants you to utilize the 'rb_pots' function available in the 'cdlib' library for community detection on this network graph. Once you have identified the communities, your task is to transform this community structure into a JSON format for better visualization and analysis. 

Please proceed by employing the 'rb_pots' function in the 'cdlib' library to conduct community detection on the provided High-energy theory collaborations graph dataset and then convert the resulting community structure into a JSON representation for the institute's analysis and interpretation.
### Response:
import networkx as nx
from cdlib import algorithms

# Read the high-energy theory collaborations graph
G = nx.read_gml('hep-th.gml')

# Perform community detection using the rb_pots algorithm
coms = algorithms.rb_pots(G)

# Generate a JSON representation of the community detection object
coms_json = coms.to_json()
print(coms_json)
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