<｜begin▁of▁sentence｜>### Instruction:
As a rehabilitation counselor, imagine you're working with a group of individuals with varying degrees of physical abilities, aiming to facilitate their integration into the workforce and independent living. Now, consider you're tasked with assessing the dynamics within a network of relationships among them. Using NetworkX, a Python library for studying complex networks, how would you analyze the interactions among these individuals and present the findings in a format that provides insights into their social connections?
### Response:
import networkx as nx

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

# Compute dyad census
from networkx.algorithms.structuralholes import dyad_census
dyads = dyad_census(g)

# Print the dyad census in string format
print(str(dyads))
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