<｜begin▁of▁sentence｜>### Instruction:
Given a graph with the edge set [(1, 2), (1, 3), (3, 4), (2, 4)], calculate the SimRank similarity between node 1 and node 2 with an importance factor of 0.8, a maximum of 10 iterations, and a tolerance of 1e-4 using NetworkX. What is the resulting SimRank similarity?
### Response:
import networkx as nx

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

# Compute SimRank similarity for the graph
similarity = nx.simrank_similarity(G, source=1, target=2, importance_factor=0.8, max_iterations=10, tolerance=1e-4)

print('SimRank similarity between node 1 and 2:', similarity)
<|EOT|>
