<｜begin▁of▁sentence｜>### Instruction:
As an expert in network analysis, I can help you with a practical example. Let's consider a scenario where you are analyzing the social interactions within a company to improve team dynamics. Suppose you have data representing the relationships among employees, such as who collaborates with whom on projects. Using the Python library NetworkX, you can utilize the community label propagation method to identify potential community structures within the company. This can help in understanding how employees naturally form subgroups based on their interactions, which could ultimately inform strategies for fostering better collaboration and teamwork.
### Response:
import igraph as ig

# Create an example graph
g = ig.Graph.Famous('Zachary')

# Find communities using the label propagation method
communities = g.community_label_propagation()

# Print the community membership of each vertex
print(communities.membership)
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