<｜begin▁of▁sentence｜>### Instruction:
As a paralegal, I am here to assist you in conducting legal research and preparing legal documents for a hypothetical case related to network analysis. Imagine that you are working for a law firm that specializes in technology and innovation.

You have been provided with a dataset named "hep-th.gml" containing a graph representing high-energy theoretical physics collaborations. Your task is to utilize the genetic algorithm for community detection available in the cdlib library to identify the communities within this network. After detecting the communities, you need to create a JSON representation of the community structure. This analysis will facilitate the understanding of the collaborations and relationships within the high-energy theoretical physics community, and it may uncover valuable insights for your case related to technology and innovation.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Apply the Genetic Algorithm for community detection
coms = algorithms.ga(G, population=100, generation=10, r=0.10)

# Generate JSON representation of the detected communities
coms_json = coms.to_json()
print(coms_json)
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