<｜begin▁of▁sentence｜>### Instruction:
Imagine we're working on a conceptual infrastructure project that requires us to assess the interconnectivity between four critical points—akin to a road network with four essential interchanges. To aid in our design visualization, we'll employ a software tool similar to those we use for structural analysis.

Specifically, we will use NetworkX, a powerful library for the analysis of complex networks, to create a model representing these interchanges as nodes within a complete graph. For clarity, a complete graph is one where every node is connected to every other node—a perfect analogy for an infrastructure system where each interchange has a direct route to all others.

Now, to better understand the intricacies of our model’s layout, we want to leverage the 'graphviz_layout' function provided by NetworkX. This function enables us to apply sophisticated layout algorithms from the Graphviz suite, which are essential for visualizing our network graph effectively.

Our task is to use this function, specifically invoking the 'dot' layout algorithm—a Graphviz algorithm optimized for hierarchical or layered drawings of directed graphs—to determine the spatial arrangement of our graph. This will help us visualize our infrastructure network model in a way that highlights the relationships and connections between these four pivotal interchanges.

How might we proceed to apply the 'dot' algorithm using the 'graphviz_layout' to our complete graph network model within NetworkX, and what steps should we take to visualize the resulting layout effectively?
### Response:
import networkx as nx
import matplotlib.pyplot as plt
from networkx.drawing.nx_pydot import graphviz_layout

# Create a complete graph with 4 nodes
G = nx.complete_graph(4)

# Use Graphviz to determine the layout
pos = graphviz_layout(G, prog='dot')

# Draw the graph using the layout
plt.figure()
nx.draw(G, pos, with_labels=True, node_size=700, node_color='lightblue')
plt.show()
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