<｜begin▁of▁sentence｜>### Instruction:
As a recreational therapist, you may want to utilize the Dynamics of Edges and Roles (DER) algorithm to identify and group individuals with shared interests and needs. By applying this algorithm to a network of individuals you work with, represented in a gml file, you can detect distinct communities that share common characteristics, leading to more targeted and effective therapeutic programs. To visually represent these communities, you can generate a JSON file that captures the structure and membership of the detected groups, allowing for easier interpretation and planning of tailored recreational and therapeutic activities.
### Response:
import networkx as nx
from cdlib import algorithms

# Load the Les Miserables graph
G = nx.read_gml('lesmis.gml')

# Apply DER algorithm for community detection
coms = algorithms.der(G, walk_len=3, threshold=0.00001, iter_bound=50)

# Generate JSON representation of the community structure
coms_json = coms.to_json()
print(coms_json)
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