<｜begin▁of▁sentence｜>### Instruction:
Imagine you're tasked with designing a complex visual effect for a sci-fi movie that visualizes a futuristic social network expanding over time. You decide to illustrate this network's growth using a simulation that mirrors the Barabási–Albert model, a visual and dynamic representation that shows 100 individuals (nodes) connecting with one another. As each new individual joins the ever-growing social circle, they establish connections with 2 existing members already part of the network. To maintain consistency in the visual effect, you opt for a predefined randomness in the simulation, setting the seed to 42 for the random number generator.

As part of the initial design briefing, could you please provide the specifics on the total count of individuals and connections (edges) presented in this simulated social network? This will help in determining the complexity and the resources needed for creating the special effect graphics.
### Response:
import networkx as nx

# Create a Barabási–Albert graph
B = nx.barabasi_albert_graph(n=100, m=2, seed=42)

# Print the number of nodes and edges
print('Number of nodes:', B.number_of_nodes())
print('Number of edges:', B.number_of_edges())
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