<｜begin▁of▁sentence｜>### Instruction:
As a network architect handling a complex network infrastructure project, could you demonstrate the practical application of using the `dyad_census` function from the `networkx` library to analyze and convert the dyad census results into a dictionary format within the context of mapping network connections and relationships in an organizational communication system governed by a set of directed edges [(0, 1), (1, 2), (2, 3), (3, 0)]?
### Response:
import networkx as nx

# Create a directed graph
dg = nx.DiGraph([(0, 1), (1, 2), (2, 3), (3, 0)])

# Compute the dyad census
dyad_census = nx.algorithms.structuralholes.dyad_census(dg)

# Convert the dyad census to a dict
dyad_census_dict = dyad_census.as_dict()

print(dyad_census_dict)
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