<｜begin▁of▁sentence｜>### Instruction:
As an assistant with deep knowledge of NetworkX, I can help you with detecting communities in the Astrophysics collaborations graph. Imagine you are a researcher studying collaborative patterns in astrophysics, and you have access to the astro-ph.gml file containing the network data. You wish to use the Louvain method in the cdlib library to identify communities within the graph and calculate the Overlapping Modularity of the detected communities.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load the astrophysics collaborations graph
G = nx.read_gml('astro-ph.gml')

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

# Evaluate the overlapping modularity of the detected communities
mod = evaluation.modularity_overlap(G, communities)

# Print the overlapping modularity score
print('Overlapping Modularity:', mod.score)
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