<｜begin▁of▁sentence｜>### Instruction:
As a meeting, convention, and event planner, you have been tasked with organizing a political conference focused on books about US politics. The goal is to bring together authors, scholars, and political enthusiasts to discuss and share insights on these books. To facilitate meaningful discussions, you need to identify the different communities of books within the network and strategically group them for sessions and panels during the conference.

Your task involves using the MULTICOM algorithm in the Complex Network Community Detection (cdlib) API to analyze the network of US politics books. With a specified seed node, you will perform community detection to identify cohesive groups of books. Finally, you will generate and print a JSON representation of the detected communities, which will guide the planning and scheduling of conference sessions on specific thematic clusters of books.
### Response:
import networkx as nx
from cdlib import algorithms

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

# Perform community detection using MULTICOM algorithm with a specified seed node
coms = algorithms.multicom(G, seed_node=0)

# Save the resulting communities to JSON
communities_json = coms.to_json()
print(communities_json)
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