<｜begin▁of▁sentence｜>### Instruction:
"Attention all units, we have a network of roads represented by connections: a road from point 1 to point 2, another from point 2 to 3, a third from 3 to 4, and a last one from 4 to 5. The task is to identify the intersection with the greatest amount of traffic, i.e., the most road connections. To streamline the process, we're looking to utilize a procedural modification – a kind of pre-check, if you will – that ensures our list of intersections is prepped and primed for analysis before we initiate the actual review procedure. How would this protocol adjustment be applied to ensure the intersection with the highest incident of convergence is rapidly and effectively pinpointed?"
### Response:
import networkx as nx

@nx.utils.decorators.argmap(max, 'node_list')
def find_max_degree(graph, node_list):
    # This function uses the decorator to apply max to 'node_list' argument before the function is called.
    return max(graph.degree(node_list), key=lambda x: x[1])

# Create a simple graph
G = nx.Graph()
G.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 5)])

# Call the decorated function
max_degree = find_max_degree(G, [1, 2, 3, 4, 5])
print(f'The node with the maximum degree is: {max_degree}')
<|EOT|>
