<｜begin▁of▁sentence｜>### Instruction:
{'Description': "Given a famous social network graph (Karate Club graph), create a new graph with a similar spectral structure using NetworkX's spectral_graph_forge function.", 'Data': {'G': 'Karate Club graph, a well known social network graph representing the friendships between 34 members of a karate club at a US university in the 1970s.', 'alpha': '0.3, reprisedenting 30% of the eigenvectors of G to consider.', 'transformation': "'identity', indicating that we are not applying any transformation to the adjacency matrix.", 'seed': '42, used to control the random graph generation process.'}, 'Problem': "Synthesize a new social network graph resembling the given graph's spectral properties while preserving the node ordering to allow the mapping of node attributes."}
### Response:
import networkx as nx

# Create a graph using a famous social network
G = nx.karate_club_graph()

# Use the Spectral Graph Forge to generate a new graph
H = nx.spectral_graph_forge(G, alpha=0.3, transformation='identity', seed=42)

# Print the new graph
print(H.edges())
<|EOT|>
