<｜begin▁of▁sentence｜>### Instruction:
Given the C. elegans neural network graph, which you can read from a GML file named celegansneural.gml, can you use the Overlapping Seed Set Expansion (OSSE) algorithm in cdlib to perform community detection with personalized PageRank clustering by providing a list of seed nodes? Can you also convert the resulting NodeClustering object to a JSON representation?
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from C. elegans neural network data
g = nx.read_gml('celegansneural.gml')

# Defining seeds for community detection
seeds = [1, 34, 55]  # Example node ids as seeds

# Using Overlapping Seed Set Expansion (OSSE) for community detection with specified parameters
communities = algorithms.overlapping_seed_set_expansion(g, seeds=seeds, ninf=True, expansion='ppr', stopping='cond', nworkers=1, nruns=13, alpha=0.99, maxexpand=float('inf'), delta=0.2)

# Convert the communities to JSON - to get a JSON representation of the clustering
communities_json = communities.to_json()

print(communities_json)
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