<｜begin▁of▁sentence｜>### Instruction:
As a Virtual Reality Developer, you may need to analyze a network dataset representing a social network related to political blogs to understand the community structure and connections between different groups. Using the K-Cut function in the cdlib library, you can perform community detection to identify clusters within the network. After detecting the communities, you can then analyze and visualize the nodes within each community to gain insights into the connections and interactions between different political blog groups.
### Response:
import networkx as nx
from cdlib import algorithms

# Create a graph from the Political blogs dataset
G = nx.read_gml('polblogs.gml')

# Apply the K-Cut community detection algorithm
communities = algorithms.kcut(G, kmax=4)

# Print the communities
for community in communities.communities:
    print(community)
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