<｜begin▁of▁sentence｜>### Instruction:
As a Market Research Analyst, you have been tasked with analyzing the social network of a company's customers to identify potential opportunities for targeted marketing and sales strategies. You have collected data representing the connections between customers in the network. Using the CohesiveBlocks.hierarchy function from the igraph library, you will calculate and print the hierarchical relationships between cohesive groups within the network. The resulting 'block_tree' graph is a directed tree where each edge indicates that one group is a superset of the other, with edges pointing from the larger group to the smaller one. How would you identify the largest group that encompasses all the others in this hierarchical tree in order to understand the most influential and interconnected customer segment for targeted business strategies?
### Response:
import igraph as ig

# Assume 'g' is an igraph.Graph instance
blocks = ig.CohesiveBlocks(g)
block_tree = blocks.hierarchy()

# Print the hierarchical relationships
print(block_tree)
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