<｜begin▁of▁sentence｜>### Instruction:
As a Market Research Analyst, you're tasked with gathering, analyzing, and interpreting data to inform business decisions. Imagine you're working for a company that operates in various markets, each represented by vertices in a network. The edges between vertices indicate connections or relationships between these markets, such as trade routes or consumer behavior patterns.

Now, you've collected data on a network representing seven markets, with edges denoting connections between them. Your task is to determine if this network is biconnected, meaning that there are at least two distinct paths between any pair of markets, ensuring robustness and resilience in the business operations across these markets.

To address this, you'd utilize the `is_biconnected` method from the igraph's `GraphBase` class, which helps assess the network's structural integrity and resilience to potential disruptions. By analyzing the biconnectivity of the network, you can provide valuable insights to guide strategic decisions and risk management efforts within the company's market expansion plans.
### Response:
import igraph as ig

# Create an example graph
vertices = 7
edges = [(0, 1), (1, 2), (2, 3), (3, 0), (1, 3), (2, 4), (4, 5), (5, 6), (4, 6)]
g = ig.Graph(edges=edges, directed=False)

# Check if the graph is biconnected
is_bicon = g.is_biconnected()

# Print the result
print('Is the graph biconnected?', is_bicon)
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