<｜begin▁of▁sentence｜>### Instruction:
As a network analysis specialist familiar with the use of networkx, let's delve into applying community detection techniques on a complex American College football network dataset stored in a GML file called football.gml. To enhance our analysis, we aim to implement overlapping community detection using the endntm function from the cdlib library.

To start this journey, we will first generate a set of non-overlapping node partitions produced by various algorithms, creating a diverse ensemble of community structures within the network. Subsequently, we will leverage the EnDNTM method from the cdlib library to discover overlapping communities in the network.

By combining these community detection strategies, we can gain a comprehensive understanding of the intricate relationships and groupings present within the American College football network dataset.
### Response:
import networkx as nx
from cdlib import algorithms, NodeClustering

# Load the American College football network
G = nx.read_gml('football.gml')

# Apply different community detection algorithms to get an ensemble
coms_l = [algorithms.louvain(G), algorithms.label_propagation(G), algorithms.walktrap(G)]

# Perform overlapping community detection using EnDNTM
coms = algorithms.endntm(G, coms_l)

# Print overlapping communities
print(coms.to_node_community_map())
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