<｜begin▁of▁sentence｜>### Instruction:
As a substance abuse counselor, imagine you are working at a rehabilitation center and you are tasked with assessing and supporting individuals in a group therapy setting. In this scenario, let's say you are utilizing a network to represent the relationships between individuals and their interactions.

You have a directed graph that represents the relationships and interactions among the individuals in the group. The edges in the graph correspond to the connections between individuals, with the edge set being [(0, 1), (1, 2), (0, 2), (2, 3)].

Your task is to perform a triad census on this graph and specifically find the count for the triad pattern '021U', which represents a specific relationship dynamic within the group. This analysis will help you understand the underlying social structure and interactions within the group, allowing you to tailor your counseling and support interventions to address the specific relationship dynamics present.

You may utilize tools such as NetworkX, a Python library for the creation, manipulation, and study of complex networks to carry out this analysis.
### Response:
import networkx as nx

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

# Compute the triad census
tc = nx.triad_census(g)

# Get the count for a specific triad
triad_021U = tc['021U']
print('The count for triad 021U is:', triad_021U)
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