<｜begin▁of▁sentence｜>### Instruction:
In the course of our genetic network analysis, we've mapped out a certain gene interaction topology resembling a quadrilateral with vertices representing genes and edges symbolizing the interaction pathways. Specifically, we have edges delineated as follows: (1, 2), (2, 3), (3, 4), (4, 1), (1, 3), effectively creating a square graph with a crosslink that might be indicative of a robust genetic regulatory system. To ascertain the resilience of this genetic network model against mutations disrupting one interaction pathway, could we utilize the NetworkX library's is_biconnected function to determine if this graph represents a biconnected structure? This assessment could reflect the network's ability to maintain its integral functions despite potential genetic alterations.
### Response:
import networkx as nx

# Create a graph
g = nx.Graph()

# Add edges to the graph
# The graph is a simple square with a diagonal, which is biconnected
g.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 1), (1, 3)])

# Use the is_biconnected API to check if the graph is biconnected
is_bicon = nx.is_biconnected(g)
print(f'Is the graph biconnected? {is_bicon}')
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