<｜begin▁of▁sentence｜>### Instruction:
Sure, I can help with that. Let's say you are a social media influencer who is working with a network analysis company to understand the community structure of your followers. The network analysis company has access to the famous Zachary's Karate Club graph, which represents the interactions between members of a karate club over time. You want to use the CohesiveBlocks algorithm in the igraph library to identify the cohesive blocks within your follower network and retrieve the subgraphs belonging to each cluster. How can you accomplish this using the igraph library's CohesiveBlocks functionality?
### Response:
from igraph import Graph
from igraph.clustering import CohesiveBlocks

# Create a graph instance
g = Graph.Famous('Zachary')

# Instatiate CohesiveBlocks object
cb = CohesiveBlocks(g)

# Get hierarchical clusters
blocks = cb.calculate()

# Get all subgraphs belonging to each cluster
subgraphs = blocks.subgraphs()

for i, sg in enumerate(subgraphs):
    print(f'Subgraph {i+1}:', sg.vs['name'])
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