<｜begin▁of▁sentence｜>### Instruction:
As a photo retoucher, you have received a large collection of photographs from a condensed matter research conference in 2005. The photographs are stored in a GML file named "cond-mat-2005.gml." Your task is to use the Louvain community detection algorithm from the cdlib API to identify overlapping groups of people in the photographs who collaborated on multiple projects. Additionally, you need to compute the Overlapping Modularity to understand the strength of these collaborative clusters.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Create a graph
G = nx.read_gml('cond-mat-2005.gml')

# Apply the Louvain community detection algorithm to find overlapping communities
communities = algorithms.louvain(G)

# Compute the Overlapping Modularity of the partition
modularity_overlap = evaluation.modularity_overlap(G, communities)

print(modularity_overlap.score)
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