<｜begin▁of▁sentence｜>### Instruction:
Imagine we're working with a group of individuals under community supervision, representing them as distinct points in a network where each person needs to check in with their immediate neighbor, as well as another individual who is a couple of steps further in their support circle. We're visualizing this as a close-knit community with exactly six members, and we're scheduling regular meetings in such a way that every member meets with the person next in line, as well as one more person after that, following the pattern of our community program. So the question at hand is: can you map out the exact pairings for these check-ins within our group of six, ensuring everyone is connected in this specific support structure? The relationships will form a unique pattern, which we're referring to as our "circle of accountability," reflective of their pathways to rehabilitation and community reintegration.
### Response:
import networkx as nx

# Create a circulant graph with 6 nodes
# Each node i connects to node (i+1) mod 6 and (i+2) mod 6
G = nx.circulant_graph(6, [1, 2])

# Print the edges of the graph
print(sorted(G.edges()))
<|EOT|>
