<｜begin▁of▁sentence｜>### Instruction:
A data scientist is comparing the global connectivity of two different social networks to determine if there is a significant difference in their overall interconnectivity. The networks are modeled as Erdos-Renyi graphs, and the researcher employs the density test from graspologic to test the hypothesis that the densities of the two networks are equal under the assumption of an Erdos-Renyi model. How can the density test be used to determine if there is a significant difference in the connectivity of these two networks?
### Response:
import numpy as np
from graspologic.inference import density_test
import networkx as nx

# Create two Erdos-Renyi graphs using NetworkX
G1 = nx.erdos_renyi_graph(n=100, p=0.3)
G2 = nx.erdos_renyi_graph(n=100, p=0.4)

# Convert NetworkX graphs to adjacency matrices
A1 = nx.to_numpy_array(G1)
A2 = nx.to_numpy_array(G2)

# Perform the density test
results = density_test(A1, A2, method='fisher')

# Display the results
print(f'Statistic: {results.stat}')
print(f'P-value: {results.pvalue}')
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