<｜begin▁of▁sentence｜>### Instruction:
As an online moderator overseeing a vibrant digital community, let's imagine we're conceptualizing a new way to map the connections and interactions between our community members. We're proposing to use a network graph to visualize these interactions, specifically a 'lollipop' shaped graph, which symbolizes a tightly-knit group of 4 core members with 3 additional members forming a sequence of expanding engagement.

Your task is to conceive a plan to present the network connections between our community members in a simplistic, organized format. Picture each member as a node in our lollipop graph structure, which we'll generate using NetworkX with the command 'nx.lollipop_graph(4, 3)'. We want to create a list that details the adjacency of each member, essentially showing who is directly connected to whom within our community map.

To proceed, let's draft an adjacency list that simply lists each member followed by the members they're directly connected with, separating each name by space for clarity. This list will serve as a useful reference for visualizing the structure and flow of interactions in our community, aiding us in moderating and fostering a healthy, engaged online environment.

Remember, this exercise is just a preparation for potential implementation, so there's no actual data or GML file involved in this scenario yet. However, it's a pivotal first step to ensure when we do implement it, we have a clear, practical utility for the model in managing our community's network effectively.
### Response:
import networkx as nx

# Create a lollipop graph
G = nx.lollipop_graph(4, 3)

# Generate lines in adjacency list format
for line in nx.generate_adjlist(G, delimiter=' '):
    print(line)
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