<｜begin▁of▁sentence｜>### Instruction:
As a network analyst specializing in social network research, I often use NetworkX, a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Suppose you have a social network graph representing the relationships between individuals, and you want to extract information about the vertices. Could you please provide the specific attribute labels for all the individuals in the graph using the `get_attribute_values` function in NetworkX?
### Response:
from igraph import Graph

# Create a simple undirected graph with vertex attributes
g = Graph.Formula('A:B:C', attribute=True)
g.vs['label'] = ['Alice', 'Bob', 'Carol']

# Get the 'label' attribute values for all vertices
labels = g.vs.get_attribute_values('label')

print(labels)
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