<｜begin▁of▁sentence｜>### Instruction:
As a criminal investigator tasked with unraveling a complex network of criminal activity, imagine you've intercepted encrypted communications between individuals involved in illicit operations. The network of communication exchanges forms a graph, represented by the edge set [(0, 1), (1, 2), (2, 3), (3, 0)]. To gain insights into the network's structure, you need to analyze its layout, specifically focusing on the centroid, which provides a central point of convergence. Calculate and print the centroid of a circular layout of this graph, as it may reveal crucial information about key players or central hubs within the criminal network. You can leverage NetworkX, a Python library commonly used for graph analysis, employing its functionalities to determine the centroid.
### Response:
import igraph as ig

# Create a graph
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 0)])

# Generate a layout for the graph
layout = g.layout('circle')

# Calculate the centroid of the layout
centroid = layout.centroid()

# Print the centroid
print('Centroid of the layout:', centroid)
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