<｜begin▁of▁sentence｜>### Instruction:
As a telecommunications engineer, you may encounter scenarios where you need to analyze the connectivity of a network graph representing a telecommunications system. Suppose you have a graph with the following connections: Node 0 is connected to Node 1, Node 1 is connected to Node 2, Node 2 is connected to Node 3, Node 0 is connected to Node 3, Node 3 is connected to Node 4, and Node 4 is connected to Node 0.

In such a scenario, you may want to use a Python package called `igraph` to find the length of the shortest cycle in the graph and also retrieve the shortest cycle itself. With this information, you could evaluate the potential for network congestion and performance issues in the telecommunications system.
### Response:
import igraph as ig

# Define the edges of the graph
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3), (0, 3), (3, 4), (4, 0)])

# Compute the girth of the graph
# Also, get one of the shortest circles constituting the girth
girth, shortest_circle = g.girth(return_shortest_circle=True)

print('Girth of the graph:', girth)
print('Shortest circle:', shortest_circle)
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