<｜begin▁of▁sentence｜>### Instruction:
As a financial analyst, you've been tasked with analyzing the network of business relationships within a portfolio of companies. One way to do this is to calculate and access the number of 'mutual', 'asymmetric', and 'null' dyads (pair of companies) present in the network using NetworkX, a Python library for studying complex networks and graphs. This information will be critical in understanding the dynamics and strengths of relationships between companies within the portfolio.
### Response:
from networkx import DiGraph
from networkx.algorithms.structuralholes import dyad_census

# Create a directed graph with some edges
G = DiGraph([(0, 1), (1, 2), (2, 3)])

# Perform a dyad census
#census = DyadCensus(G)  # Assuming DyadCensus is correctly imported, which is not the case here
#dyad_types = census['mutual']  # Access the number of mutual relationships

dyad_types = dyad_census(G)  # Using the NetworkX API instead
print(dyad_types)
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