<｜begin▁of▁sentence｜>### Instruction:
As a marine biologist, you might have a scenario where you are studying the interactions between different species within a marine ecosystem. In this context, you may want to analyze the cohesive block structure of a network representing species interactions.

For example, if you have data on the interactions between different marine species, such as predator-prey relationships or symbiotic interactions, you could use a tool like igraph's cohesive_blocks method to calculate and visualize the cohesive block structure of the species network. By doing so, you would be able to identify groups of species that have strong interactions within their respective blocks, as well as the cohesion levels and the specific species blocks at each level.

Analyzing the cohesive block structure of the species network can provide valuable insights into the dynamics of the marine ecosystem and the interconnectedness of different species within it, helping you better understand the biodiversity, conservation, and sustainability of marine life in the face of environmental challenges and impacts.
### Response:
import igraph as ig

# Create an igraph Graph
graph = ig.Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 0), (2, 5)], directed=False)

# Calculate the cohesive blocks structure of the graph
cohesive_blocks = graph.cohesive_blocks()

# Print the cohesion levels and the blocks at each level
for level, blocks in enumerate(cohesive_blocks):
    print('Cohesion Level {}:'.format(level))
    for block in blocks:
        print(block)
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