<｜begin▁of▁sentence｜>### Instruction:
As an expert in network analysis and community detection methods, let's consider a practical scenario involving the analysis of a social network representing interactions between different tribes in a remote region. Suppose you have a network graph stored in a file named "tribal_network.gml", which captures the relationships and connections between various tribes.

In this context, you are interested in using a sophisticated algorithm known as GA community detection from the cdlib library to identify distinct communities within this tribal network. The goal is to understand the social structure and groupings present in the network.

Could you kindly outline the process of utilizing the genetic algorithm community detection method from the cdlib library to identify these communities within the tribal network and then converting the results into a JSON representation of the NodeClustering object?
### Response:
import networkx as nx
from cdlib import algorithms

# Read the Political blogs graph
G = nx.read_gml('polblogs.gml')

# Apply GA community detection algorithm
coms = algorithms.ga(G, population=100, generation=10, r=0.1)

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

print(coms_json)
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