<｜begin▁of▁sentence｜>### Instruction:
As a Landscape Architect involved in designing and managing outdoor spaces, imagine you are tasked with evaluating the various interconnected elements in a garden to ensure both aesthetics and functionality. Using networkx, you can analyze the relationships between different features like pathways, plant beds, and water features to determine the different types of connections present. By computing the triad census, you can gain insights into the patterns of interactions among these elements, ranging from isolated areas to well-integrated clusters, allowing you to enhance the overall quality and sustainability of the garden design.
### Response:
import networkx as nx

# Create a directed graph
dg = nx.DiGraph()

dg.add_edges_from([(1, 2), (2, 3), (1, 3)])

# Compute the triad census
triad_census = nx.algorithms.triads.triad_census(dg)

# Print the computed triad census
print(triad_census)
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