<｜begin▁of▁sentence｜>### Instruction:
Imagine we're examining the connections within a support network at our mental health facility, where each person is a node, and the supportive interactions between them are edges. As we know, strong interpersonal connections are vital for psychological resilience, akin to the current flow in an electrical circuit. Now consider that each supportive interaction has equal positive impact, much like unit resistance in an electrical system.

In this context, I'd like to gain insight into the relational dynamics of our patients. Could you help us understand the strength of the support link between patient 1 and patient 3, by considering the supportive interactions represented by edges: [(1, 2), (1, 3), (1, 4), (3, 4), (3, 5), (4, 5)]? Each interaction has an equivalent effect or 'unit resistance.' This inquiry is geared towards enhancing our patient care stratagem by identifying and possibly bolstering the support channels within our community.
### Response:
import networkx as nx

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

# Calculate the resistance distance between node 1 and node 3
rd = round(nx.resistance_distance(G, 1, 3), 10)
print(f'The resistance distance between node 1 and 3 is {rd}')
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