<｜begin▁of▁sentence｜>### Instruction:
Imagine we're examining a peculiar condition that has appeared within a network of 10 dermatology clinics, where each clinic has a chance to collaborate with another on a patient case based on a 50% likelihood. In this medical collaboration network, which could be recorded in a file called "clinic_collaboration_network.gml", we want to understand the optimal referral pathway. Specifically, we're eager to identify the referral sequence of clinics that ensures every clinic refers patients to the one with fewer or no pending cases. Can you describe how we would ascertain the most effective referral sequence among these clinics, starting from the one with the highest capacity to the least?
### Response:
import networkx as nx

# Create a graph
G = nx.erdos_renyi_graph(10, 0.5)

# Apply the smallest last ordering strategy
deque_nodes = nx.coloring.strategy_smallest_last(G)

# Convert the deque to a list for display
ordered_nodes = list(deque_nodes)
print('The smallest last ordering of the nodes:', ordered_nodes)
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