<｜begin▁of▁sentence｜>### Instruction:
Imagine you're a performance artist, crafting a groundbreaking piece that explores the interconnectedness of individuals within a society. You've conceptualized this network of interactions as a captivating, interactive installation, where participants can visually and physically experience the web of relationships. To bring this vision to life, you've sketched out a map of connections between people, symbolized as points that are linked by lines signifying their interactions. This map of connections is ingeniously represented as a collection of associations, where each individual and their interactions are captured in a creative dictionary of lists: {0: [1, 2], 1: [0, 2], 2: [0, 1]}. 

In this artistic endeavor, could you illuminate the process of transmuting this conceptual representation into a tangible NetworkX graph within the digital realm? Furthermore, how might one recount the list of connections, those invisible threads that weave the fabric of our society, using this graph? This unfolds an additional layer of interaction in your installation, allowing audiences to not only witness but also analyze the complexity and beauty of societal interconnections through a digital lens.
### Response:
import networkx as nx

# Define a dictionary of lists representing the adjacency of the graph
dol = {0: [1, 2], 1: [0, 2], 2: [0, 1]}

# Create a graph using the dictionary of lists
g = nx.from_dict_of_lists(dol)

# Print the edges of the graph
print(g.edges())
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