<｜begin▁of▁sentence｜>### Instruction:
Imagine that as an anthropologist, you're studying the interconnectedness of a certain tribe, and you've decided to represent their social interactions as a network. You've already mapped out these relationships into a graph 'G' using the NetworkX library to help visualize and analyze their complex social structure. Before proceeding with your analysis, you want to ensure that the graph 'G' indeed reflects the tribe's interactions and isn't void of relationships. Could you utilize the 'is_empty' function in NetworkX to verify whether the constructed graph is indeed populated with edges, symbolizing the tribe's social ties? This function would yield True if 'G' is devoid of such connections, implying an empty graph, and should return False if the graph depicts at least one or more social links among tribal members.
### Response:
import networkx as nx

# Create an empty graph
G = nx.Graph()

# Check if the graph is empty (has no edges)
empty = nx.is_empty(G)
print('Is the graph empty?', empty)
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