<｜begin▁of▁sentence｜>### Instruction:
As a Network Analyst utilizing the NetworkX library, you are tasked with applying the Barabási-Albert model to generate a realistic graph based on the parameters provided. Suppose you have collected data on 'n' vertices representing different food processing facilities, and 'm' edges symbolizing the connections between them based on their collaborations or interactions. Your task is to use the NetworkX API to implement the Barabási-Albert model with the specified parameters, creating a network that mirrors the underlying relationships among the food processing facilities as per the collected data.
### Response:
import igraph as ig

# Generate a Barabási-Albert graph
n = 100  # Number of vertices
m = 2  # Number of edges to attach from a new node to existing nodes
directed = False

# Create the graph using the Barabási-Albert model
ba_graph = ig.Graph.Barabasi(n=n, m=m, directed=directed)

# Plot the graph
ig.plot(ba_graph, vertex_size=10)
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