<｜begin▁of▁sentence｜>### Instruction:
Imagine you're involved in plotting out the interconnections between various emergency response teams in a city. The way these teams are connected can be thought of as a web of contacts - Team 0 can immediately contact Teams 1 and 2, Team 1 also has direct communication lines with Teams 0 and 3, and so on. You've been provided data in the form of a dictionary with lists that map out these connections: {0: [1, 2], 1: [0, 3], 2: [0], 3: [1]}. 

As part of your disaster recovery planning, you need to convert this data into a more visual form, a network graph that can help identify the lines of communication and ensure there are no weak points that could lead to breakdowns in an emergency situation. Could you use NetworkX to create a graph from this dictionary, and give us a brief readout on the graph's key attributes? This would greatly aid in visualizing the integrity of our emergency response network.
### Response:
import networkx as nx

# Define a dictionary of lists adjacency representation
dol = {0: [1, 2], 1: [0, 3], 2: [0], 3: [1]}

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

# Now we have a graph with edges (0, 1), (0, 2), and (1, 3)
print(nx.info(g))
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