<｜begin▁of▁sentence｜>### Instruction:
As an Innovation Strategist, you're tasked with developing and implementing strategies to foster innovation and growth within organizations. Imagine you're working with a tech company that specializes in network infrastructure. Your team is using the NetworkX library to analyze and visualize various network graphs, such as communication networks or social networks.

Now, consider a specific scenario where your team is analyzing a network graph representing communication channels within the company. You have a graph defined with edges connecting different departments or teams, represented by nodes. Let's say the graph is structured as follows: [(0, 1), (1, 2), (2, 3), (3, 0), (2, 4)].

In the context of this scenario, you're exploring ways to organize and understand the connectivity patterns within the network. You're interested in using a specific function called `CohesiveBlocks.parent` provided by the NetworkX library to determine the parent group index of a particular group within a CohesiveBlocks structure. This function helps identify the hierarchical relationship between different groups within the network, which can be valuable for optimizing communication flows or identifying key influencers within the organization.
### Response:
from igraph import Graph
from igraph.clustering import CohesiveBlocks

# Create an example graph
g = Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 0), (2, 4)])

# Find the cohesive blocks in the graph
cohesive_blocks = CohesiveBlocks(g)

# Get the cohesive blocks structure
blocks = cohesive_blocks.blocks

# Get the parent of a specific block
block_index = 1  # assuming this index is within the range of blocks
parent_index = cohesive_blocks.parent(block_index)

print(f'The parent of block {block_index} is: {parent_index}')
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