<｜begin▁of▁sentence｜>### Instruction:
As a forensic scientist specializing in digital forensics, I'm tasked with analyzing data from various sources to assist in criminal investigations. Today, I received a digital evidence file containing information about a network structure related to a cybercrime case. This file includes details about an Erdős-Rényi graph with 10 vertices and 20 edges, which might provide crucial insights into the communication patterns of the suspects.

To further understand the network's characteristics, I plan to utilize the 'safemin' function from the 'igraph.utils' API. This function allows me to determine the minimum degree of the graph, which indicates the least number of connections each vertex has with other vertices. Setting the 'default' parameter to 0 ensures that even if the graph is empty, the function will return a value without errors.

By applying this analysis technique, I aim to uncover potential hubs or nodes of significance within the network, shedding light on the underlying structure of the communication network involved in the criminal activity.
### Response:
from igraph.utils import safemin
import igraph as ig

# Create a graph
g = ig.Graph.Erdos_Renyi(n=10, m=20)

# Use safemin to find the minimum degree
min_degree = safemin(g.degree(), default=0)

print(min_degree)
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