<｜begin▁of▁sentence｜>### Instruction:
As a network analysis expert, I’m tasked with analyzing data from a food production facility to enhance the efficiency and quality of food products. By applying hierarchical link clustering on the relationships between various components in the production process, using the cdlib library, I aim to categorize these components into logically related groups. This will help streamline processes and optimize interactions between different stages of food production. The dataset for this project is stored in a GML file called adjnoun.gml, containing the adjacency structure of the components in the food production network. Once the hierarchical link clustering algorithm is run on this data, a JSON representation of the resulting edge clustering will be generated to visualize the topologically related groups.
### Response:
import networkx as nx
from cdlib import algorithms

# Read graph from GML file
G = nx.read_gml('adjnoun.gml')

# Apply hierarchical link clustering algorithm
edge_clustering = algorithms.hierarchical_link_community(G)

# Generate a JSON representation of the EdgeClustering object
edge_clustering_json = edge_clustering.to_json()
print(edge_clustering_json)
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