<｜begin▁of▁sentence｜>### Instruction:
As a Radiologic Technologist, you might be working in a hospital or clinic where you are responsible for performing diagnostic imaging procedures using various medical imaging equipment. In this scenario, imagine that you are working with a network of interconnected data related to patients and their medical records.

Given a graph representing this network, where each vertex represents a patient and is assigned attributes such as 'age' and 'name', you might need to filter and print the names of all patients with an age greater than 25.

To achieve this, you could utilize the VertexSeq selection method from the NetworkX library, using an attribute operator to filter and extract the names of the relevant patients for further analysis or reporting.
### Response:
from igraph import Graph

# Create an example graph with 'age' and 'name' attributes for vertices
g = Graph.Erdos_Renyi(n=10, m=20)
g.vs['age'] = [22, 23, 28, 34, 30, 19, 20, 31, 25, 27]
g.vs['name'] = ['Alice', 'Bob', 'Carol', 'Dave', 'Eve', 'Frank', 'Grace', 'Heidi', 'Ivy', 'Jack']

# Select vertices with age greater than 25 using the 'gt' operator
selected_vertices = g.vs(age_gt=25)

# Print the names of these selected vertices
for v in selected_vertices:
    print(v['name'])
<|EOT|>
