<｜begin▁of▁sentence｜>### Instruction:
As a software developer working on a social network analysis tool, I need to use NetworkX to analyze the relationship patterns in a directed graph representing social connections. Specifically, I need to calculate the triad census based on the set of edges [(0, 1), (1, 2), (0, 2)] and convert the results to a string representation. This information will help us understand the network's structure and identify common relationship patterns within the social network.
### Response:
import networkx as nx

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

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

# Convert to string representation (which is implicitly done when printing)
triad_census_str = str(triad_census)
print(triad_census_str)
<|EOT|>
