<｜begin▁of▁sentence｜>### Instruction:
As a Probation Officer, you are tasked with supervising individuals who have been involved in criminal activities and are under your care for rehabilitation and reintegration into society. As part of your duties, you are required to closely monitor their progress and ensure they comply with court orders and treatment plans. Additionally, you collaborate with various agencies and organizations to support their reentry into the community and reduce the likelihood of them committing further offenses.

Now, consider a specific scenario where you are utilizing a tool, similar to the ecount function in igraph for graph analysis, to help you assess the progress of individuals under your supervision. You are presented with a graph representing the connections and relationships within a particular cohort of individuals. Using this tool, you need to determine the number of edges in the graph, which corresponds to the interactions and interdependencies among the individuals you are supervising. This information can provide valuable insights into the overall dynamics and cohesion within the group, aiding you in tailoring your support and interventions effectively.
### Response:
from igraph import Graph

# Define the edges for the graph
edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)]

# Create a graph with the defined edges
g = Graph(edges=edges)

# Count the number of edges in the graph
edge_count = g.ecount()

print(edge_count)
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