<｜begin▁of▁sentence｜>### Instruction:
As a CDLIB expert, can you please demonstrate how to apply community detection using the genetic algorithm with specific parameters on a graph representing relationships among academic research papers in the field of education? This graph can be loaded from a JSON file named "education_papers.json". The parameters for the genetic algorithm to consider are population size, number of generations, and crossover rate. For this task, the population size is set to 100, the number of generations is 10, and the crossover rate is 0.1.
### Response:
import networkx as nx
from cdlib import algorithms

# Load the graph
G = nx.read_gml('path_to_gml/polbooks.gml')

# Run genetic algorithm based community detection
coms = algorithms.ga(G, population=100, generation=10, r=0.1)

# Print the communities
for community in coms.communities:
    print(community)
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