<｜begin▁of▁sentence｜>### Instruction:
Imagine we're in the midst of a conservation project aiming to better understand the intricate web of interactions within a wildlife reserve. For our research, we're designing a theoretical model to represent potential interactions between different animal species within a controlled section of the habitat consisting of 6 distinct species. We plan to explore a network of 10 possible interaction pathways among these species to gain insights into the ecological dynamics of this system. To facilitate this phase of the project, could we construct a hypothetical interaction network using NetworkX's `gnm_random_graph` function, with the stipulation that our model includes exactly 6 species (nodes) and 10 inter-species interactions (edges)? And to ensure consistency in our modeling efforts, let's use a fixed starting point in our randomization process, which we'll denote with a seed value of 42. Once we structure this model, I'd like to examine the composition of the ecological network by listing the identified species and their respective interaction pathways.
### Response:
import networkx as nx

# Use the gnm_random_graph function
g = nx.gnm_random_graph(n=6, m=10, seed=42)

print('Nodes:', g.nodes())
print('Edges:', g.edges())
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