<｜begin▁of▁sentence｜>### Instruction:
Imagine you’re a sleep specialist and you've mapped out a network graph of sleep habits within a small focus group. Your graph is laid out with connections representing who influences others' sleep patterns (with nodes representing individuals and edges representing influence connections). The edge set of your influence graph is as follows: connections between individual 1 to 2, 1 to 3, 2 to 4, 3 to 4, and 4 to 5.

In this network of influence, you're considering whether two particular individuals, labeled as 1 and 2, have a reach that spans the entire group - meaning, their influence combined can affect the sleep habits of every individual in the focus group. Could these two individuals be considered a "dominating influence set" within your sleep habit graph? Analyzing this could show you if targeting sleep improvement strategies at individuals 1 and 2 could potentially improve the sleep health of the entire group. How would you assess this using your NetworkX software toolkit?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (2, 4), (3, 4), (4, 5)])

# Specify a set of nodes to test for domination
D = [1, 2]

# Check if the set D is a dominating set for G
is_dominating = nx.algorithms.is_dominating_set(G, D)

print('Is D a dominating set for G?', is_dominating)
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