<｜begin▁of▁sentence｜>### Instruction:
As a network analyst specializing in studying disease transmission patterns and public health issues to prevent infectious diseases, imagine you have access to a database containing information about the spread of a virus within a community network. By reading the network data from a file named 'as-22july06.gml', you want to utilize the gdmp2 function from the cdlib library to identify communities within the network with a minimum density threshold of 0.75. Once you have detected the community structure, you aim to convert it into a JSON object for further analysis.
### Response:
import networkx as nx
from cdlib import algorithms

# Load the Internet graph from the 'as-22july06.gml' file
G = nx.read_gml('as-22july06.gml')

# Apply the GDMP2 algorithm to detect dense subgraphs
communities = algorithms.gdmp2(G, min_threshold=0.75)

# Convert the community structure to a JSON object
communities_json = communities.to_json()

print(communities_json)
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