<｜begin▁of▁sentence｜>### Instruction:
Certainly! Let's say you and your partner have been experiencing some communication issues in your relationship. After seeking counseling from a marriage counselor, you're keen to understand the process of community detection in network analysis.

Imagine you have a group of friends, and you've observed their interactions over time, represented as a graph with individuals as nodes and their connections as edges. You've used the edge betweenness method to identify communities within this social network. As part of this process, you're curious about using the `VertexClustering.__getitem__` method to retrieve the members of the first cluster that has been detected. Can you provide more details about how this method can be applied in the context of community detection in network analysis?
### Response:
from igraph import Graph

# Create a graph with community structure
edges = [(0, 1), (0, 2), (1, 2), (3, 4), (3, 5), (4, 5)]
g = Graph(edges=edges)

# Detect communities using a community detection algorithm
vc = g.community_edge_betweenness()
clusters = vc.as_clustering()

# Get members of the first cluster
members = clusters[0]
print('Members of the first cluster:', members)
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