<｜begin▁of▁sentence｜>### Instruction:
As a Hospitality Manager overseeing operations at a new resort, I'm looking to optimize the guest experience by identifying natural groupings among our guests based on their social interactions and preferences. To achieve this, I want to use the random walk method of Latapy & Pons to uncover the community structure within our guest network. Our network is formed by guests who have interacted with each other during activities or events at the resort.
### Response:
from igraph import Graph

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

# Finding communities using the walktrap method
communities = g.community_walktrap(weights=None, steps=4)

# Convert it to actual community structure (dendrogram -> Clustering)
clusters = communities.as_clustering()

print(clusters)
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