<｜begin▁of▁sentence｜>### Instruction:
As a museum curator, you are responsible for managing and interpreting collections of historical objects and cultural materials, as well as planning and implementing exhibitions and educational activities to engage and educate audiences. Imagine you're working on an exhibit about the history of American college football. You have a dataset in a file called "football.gml" containing the network dynamics of American college football teams. Can you use the TILES function in the Community Discovery Library (cdlib) to analyze the temporal network and provide the JSON representation of the detected communities over time for this exhibit?
### Response:
import networkx as nx
import dynetx as dn
from cdlib import algorithms

# Load a dynamic graph
G = dn.read_snapshots('football.gml', timestamp_format='%Y-%m-%d')

# Apply TILES algorithm for community detection
coms = algorithms.tiles(G, obs=1)

# Generate JSON representation
coms_json = coms.to_json()
print(coms_json)
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