<｜begin▁of▁sentence｜>### Instruction:
Imagine that you are a soil scientist and you've been presented with a fascinating research challenge. Your task is to examine a conceptual ecosystem, represented as a network consisting of 10 distinct elements, which could resemble different soil components or interactions within the soil profile.

Your specific assignment is to construct a theoretical model akin to a Turan Graph in the form of a complete multipartite network. This graph is creatively segmented into three exclusive subsets, mirroring the way certain soil properties or constituents might be naturally compartmentalized within separate horizons or layers.

Once you've created this multipartite model, you are to meticulously catalog both the individual elements -- akin to identifying distinct soil particles or nutrients -- and the interactions between them -- similar to noting the exchange of organic matter or microbial activity between soil layers.

Could you please accomplish this by framing this ecosystem within the structural confines of your multipartite graph model and then provide an extensive list of its components (nodes) and their interrelationships (edges)?
### Response:
import networkx as nx

# Define the number of nodes 'n' and the number of subsets 'r'
n = 10
r = 3

# Create the Turan Graph
T = nx.turan_graph(n, r)

# Print the nodes and edges of the Turan Graph
print('Nodes:', T.nodes())
print('Edges:', T.edges())
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