<｜begin▁of▁sentence｜>### Instruction:
As an Information Architect, you might encounter a scenario where you are tasked with comparing the structure and organization of two different databases, each containing information about a network of interconnected entities. Let's say one database contains information about a social network with individuals labeled A, B, C, and D, while the other database contains information about a different social network with individuals labeled B, C, D, and E. Using the igraph's intersection function, you may need to compute the intersection of these networks based on the individuals' labels to analyze common connections and relationships.
### Response:
from igraph import Graph

# Create two example graphs
graph1 = Graph(edges=[(0, 1), (1, 2), (2, 3)])
graph2 = Graph(edges=[(1, 2), (2, 3), (3, 4)])

# Set vertex names
graph1.vs['name'] = ['A', 'B', 'C', 'D']
graph2.vs['name'] = ['B', 'C', 'D', 'E']

# Perform intersection based on vertex names
intersection_graph = Graph.intersection([graph1, graph2], byname=True)

# Print edges of the intersection graph
print(intersection_graph)
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