<｜begin▁of▁sentence｜>### Instruction:
As a professional network analyst, you have access to an American College Football network dataset stored in a GML file named football.gml. Using the Louvain and Leiden algorithms provided by the cdlib library, you are tasked with detecting communities within this network to understand the relationships and connections between different college football teams. After performing community detections, you need to evaluate the resemblance of the detected community structures using the omega index. This will help in assessing the effectiveness of the community detection algorithms in identifying cohesive groups within the network.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read American college football network
G = nx.read_gml('football.gml')

# Detect communities using the Louvain method
louvain_communities = algorithms.louvain(G)

# Detect communities using the Leiden method
leiden_communities = algorithms.leiden(G)

# Evaluate the resemblance of the two community detections using omega index
omega_index = evaluation.omega(louvain_communities, leiden_communities)

print(omega_index)
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