<｜begin▁of▁sentence｜>### Instruction:
You are a social scientist working on a research project studying collaboration networks in the field of Astrophysics. You have gathered data on Astrophysics collaborations and stored it in a file named astro-ph.gml. You are interested in identifying communities within this network using the Louvain method available in the cdlib library. Additionally, you want to compute the Triangle Participation Ratio, which measures the fraction of community nodes that belong to a triad within the collaborations graph.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph from the Astrophysics collaborations GML file
G = nx.read_gml('astro-ph.gml')

# Perform community detection using the Louvain method
communities = algorithms.louvain(G)

# Compute the Triangle Participation Ratio
triangle_participation = evaluation.triangle_participation_ratio(G, communities)

# Output the result
print(triangle_participation)
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