<｜begin▁of▁sentence｜>### Instruction:
As a Clinical Research Coordinator overseeing a trial on the efficacy of network visualization techniques, I'm tasked with exploring various methods to visualize graph data. In this study, we're focusing on a graph generated using the Erdos-Renyi model, consisting of 10 vertices and 15 edges.

To examine different visualization approaches, I'm considering utilizing the `layout_random` function provided by the igraph library. This function allows for the generation of a random layout for the vertices in the graph. By incorporating this layout into our visualization, we aim to assess its effectiveness in conveying the structure of the network.

My goal is to evaluate the suitability of the random layout generated by `layout_random` for our graph visualization, ultimately contributing to the refinement of visualization techniques in clinical research settings.
### Response:
import igraph as ig
import matplotlib.pyplot as plt

# Create a simple graph in igraph
g = ig.Graph.Erdos_Renyi(n=10, m=15)

# Generate a random layout for the graph vertices
layout = g.layout_random()

# Plot the graph
ig.plot(g, layout=layout)
<|EOT|>
