<｜begin▁of▁sentence｜>### Instruction:
Given a graph G (e.g., the karate club graph), how would you use the spectral_graph_forge function from NetworkX with an alpha value of 0.3 to generate a new graph H that has a similar eigenstructure and hence closely resembles the global properties of G? Furthermore, can you provide details on the number of nodes and edges present in the resulting graph H?
### Response:
import networkx as nx

# Use the karate club graph as the input graph
G = nx.karate_club_graph()

# Call the spectral_graph_forge function with alpha=0.3 and no transformation
H = nx.spectral_graph_forge(G, alpha=0.3)

# Print the number of nodes and edges in the new graph
print('Number of nodes:', H.number_of_nodes())
print('Number of edges:', H.number_of_edges())
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