<｜begin▁of▁sentence｜>### Instruction:
As an expert in network analysis, I can help you apply the sbm_dl_nested function from the cdlib library to detect communities within the American College football graph. The graph data is stored in a gml file named football.gml, and we would like to use the agglomerative heuristic to fit a nested non-overlapping stochastic block model and minimize its description length. This approach is similar to how an energy auditor assesses energy usage and efficiency in buildings to recommend improvements for reducing consumption.
### Response:
from cdlib import algorithms
import networkx as nx

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

# Applying Stochastic Block Model with a nested non-overlapping structure
communities = algorithms.sbm_dl_nested(G)

# Printing the communities
for community in communities.communities:
    print(community)
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