<｜begin▁of▁sentence｜>### Instruction:
As a meeting planner, you've been tasked with organizing a networking event for researchers in the field of network science. You have access to the coauthorship network data in a GML file named 'netscience.gml', which contains information about the collaborative relationships among researchers. Your goal is to identify overlapping communities within this network using the 'overlapping_seed_set_expansion' algorithm provided by the cdlib library. The initial seeds for the algorithm will be the first three nodes of the network. Once the communities are identified, you will need to generate a JSON representation of the detected communities for further analysis and planning purposes.
### Response:
import networkx as nx
from cdlib import algorithms

# Load the network science coauthorship graph
G = nx.read_gml('netscience.gml')

# Perform overlapping community detection using seed set expansion
seeds = [0, 1, 2]  # assuming these are node identifiers in the graph
communities = algorithms.overlapping_seed_set_expansion(G, seeds=seeds, ninf=False, 
                                                         expansion='ppr', stopping='cond')

# Generate a JSON representation of the detected communities
communities_json = communities.to_json()
print(communities_json)
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