<｜begin▁of▁sentence｜>### Instruction:
As a painter, you've been commissioned to create a mural representing the interconnectedness of a community. To ensure accuracy and depth in your artwork, you decide to analyze the community structure within the mural's theme. Using a specialized tool called `community_label_propagation` provided by a software called igraph, you aim to identify clusters within the network of relationships among individuals in the community. This analysis will help you accurately portray the various social circles and interconnected groups that make up the community, enriching the narrative of your mural.
### Response:
import igraph as ig

# Create a graph
edges = [(0, 1), (0, 2), (1, 2), (3, 4), (4, 5), (3, 5), (2, 3), (5, 0)]
g = ig.Graph(edges=edges)

# Run the community label propagation algorithm
communities = g.community_label_propagation()

# Print the membership of each node
membership_vector = communities.membership
print(membership_vector)
<|EOT|>
