<｜begin▁of▁sentence｜>### Instruction:
Given the Coauthorships in network science graph which you can read from a GML file named netscience.gml, can you use the Louvain and Leiden algorithms from the cdlib library to perform community detection and then compute the omega index to evaluate the resemblance between the community structures detected by these two algorithms? Note: You need to print the omega index score.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Load a graph
G = nx.read_gml('netscience.gml')

# Perform community detection using two different algorithms
louvain_communities = algorithms.louvain(G)
leiden_communities = algorithms.leiden(G)

# Evaluate the similarity of the two partitions using the omega index
omega_index = evaluation.omega(louvain_communities, leiden_communities)

print('Omega Index:', omega_index.score)
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