<｜begin▁of▁sentence｜>### Instruction:
As a user experience designer working on a social networking platform, you need to analyze the connections between users to improve the overall user experience. One way to do this is by calculating the dyad census of the network to understand the different types of two-node relationships. Could you please provide more details about the structure of the graph and the desired outcome? This information will help me create an intuitive and user-friendly way to display the dyad census results for you.
### Response:
from networkx.algorithms.structuralholes import dyad_census

# Create a simple undirected graph
g = nx.Graph()
g.add_edges_from([(1, 2), (1, 3), (3, 4)])

# Calculate the dyad census
dyad_census_result = dyad_census(g)

# Using the __repr__ function to get a string representation of the census result
print(dyad_census_result.__repr__())
<|EOT|>
