<｜begin▁of▁sentence｜>### Instruction:
As a packaging designer, I need to work on the packaging design for a collection of books about US politics. The books are part of a popular series, and I have been provided with a GML file named 'polbooks.gml' containing the graph representing the relationships between these books. My task is to identify communities of books that share common themes and topics, based on a provided set of seed nodes. I aim to use the Overlapping Seed Set Expansion Algorithm to achieve this.
### Response:
import networkx as nx
from cdlib import algorithms

# Read the graph
G = nx.read_gml('polbooks.gml')

# Seed nodes for community detection
seeds = [0, 1, 2]  # Replace with actual node ids from the graph

# Apply the Overlapping Seed Set Expansion algorithm
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)

# Generate a JSON representation of the NodeClustering object
clustering_json = communities.to_json()

print(clustering_json)
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