<｜begin▁of▁sentence｜>### Instruction:
As an assistant with expertise in network analysis, I can help you with that. Imagine you're an occupational therapist working with a group of teenagers who are part of a youth community program. The program aims to encourage social connections and bonding among the members. You've collected data on their interactions and friendships, which can be represented as a graph with the given edge set. Now, you want to use the community_leading_eigenvector function in igraph to detect any distinct community structures within the group and assign each teenager to their respective community.
### Response:
from igraph import Graph

# Create a graph
edges = [(0, 1), (0, 2), (1, 2), (3, 4), (3, 5), (4, 5), (2, 3), (5, 6)]
g = Graph(edges=edges)

# Detect the community structure
membership, _ = g.community_leading_eigenvector()

# Print the community membership of each node
print(membership)
<|EOT|>
