<｜begin▁of▁sentence｜>### Instruction:
Given the American College football graph which can be read from a gml file named football.gml, can you use the wCommunity function from the cdlib library to perform weighted community detection with certain belonging degree thresholds? And can you generate and print the JSON representation of the detected communities?
### Response:
import networkx as nx
from cdlib import algorithms

# Loading the Graph
G = nx.read_gml('football.gml')

# Assuming the 'weight' attribute is already associated to the edges of the graph.
# If not, use nx.set_edge_attributes(G, values=1, name='weight') to set all weights to 1.

# Applying the weighted community detection algorithm
communities = algorithms.wCommunity(G, min_bel_degree=0.6, threshold_bel_degree=0.6)

# Generating JSON representation of the algorithms object
communities_json = communities.to_json()
print(communities_json)
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