<｜begin▁of▁sentence｜>### Instruction:
Imagine we're assessing the robustness of a blockchain-like network represented by a cycle graph with 7 nodes, designed as 'G = nx.cycle_graph(7)' in a network analysis tool. We're particularly focused on the transaction pathways and are interested in identifying the most efficient transaction routes. Could you pinpoint the most direct transaction routes from node 0 to node 3 within this network model? Furthermore, for a comprehensive analysis, could you determine the first two most efficient transaction pathways between these nodes, ensuring that the paths are simple and direct, with no repetitive or cyclic movements? Integrating this data into our blockchain network model will greatly enhance the accuracy of our transaction flow analysis.
### Response:
import networkx as nx

# Create a graph
G = nx.cycle_graph(7)

# Find shortest simple paths from node 0 to 3
paths = list(nx.shortest_simple_paths(G, 0, 3))
print(paths)

# Finding the first two shortest simple paths from node 0 to 3
from itertools import islice

def k_shortest_paths(G, source, target, k, weight=None):
    return list(islice(nx.shortest_simple_paths(G, source, target, weight=weight), k))

for path in k_shortest_paths(G, 0, 3, 2):
    print(path)
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