<｜begin▁of▁sentence｜>### Instruction:
Imagine we're examining the structure of a particularly complex dental network, where each connection or 'edge' represents a pathway between two points -- for instance, the path between a molar and an incisor. In this scenario, our dental network map contains the pathways [(1, 2), (2, 3), (3, 4)]. Now, let's consider the 'node' number 2 to represent a tooth of interest that might require a closer evaluation.

In the realm of our dental network analysis, we have a specialized function, akin to an advanced diagnostic tool. This 'dispatch' function is part of our NetworkX diagnostic toolkit and is designed to perform a specific operation on a selected tooth or node.

The request is as follows: Utilizing our NetworkX toolkit, can we engage the 'dispatch' function on the tooth of interest, node number 2, to carry out the necessary operation and thus obtain diagnostic results pertaining to its condition?

This professional application of network analysis in dentistry allows us to interpret and act upon the unique complexities of dental structures, ensuring each tooth receives the precise attention it requires.
### Response:
import networkx as nx

# Define a function that uses 'dispatch'
def custom_function(graph, node):
    # Let's assume 'dispatch' is part of some module or functionality within NetworkX
    result = nx.dispatch(graph, node)
    return result

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

# Use the custom function
node = 2
output = custom_function(G, node)
print('Dispatch result for node', node, ':', output)
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