<｜begin▁of▁sentence｜>### Instruction:
As an expert in network analysis using NetworkX, I can provide guidance on accessing and printing the members of a specific cluster within a graph network. Imagine you have a social media platform graph, where users are connected based on their interactions and relationships. With the help of the 'VertexClustering' function in NetworkX, you can identify different community structures within this network. If you would like to know how to access and display the members of a particular cluster, such as the primary social group, feel free to ask for more details.
### Response:
from igraph import Graph

# Assume 'vc' is an instance of 'VertexClustering' for a given graph
# For example, obtained by some community detection method:
# vc = g.community_multilevel()

# Access members of the first cluster
cluster_0_members = vc[0]

print('Members of cluster 0:', cluster_0_members)
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