<｜begin▁of▁sentence｜>### Instruction:
As a Coffee Roaster, imagine you have a unique blend of coffee beans sourced from different regions, each representing a vertex in a directed graph. To ensure the quality and appeal of your final product, you want to determine the influence or significance of a particular type of bean represented by vertex 1. 

In this scenario, the directed edges between vertices symbolize the flavor profiles and characteristics that each type of bean contributes to the overall blend. Your task is akin to assessing the prominence of a specific bean variety in the blend.

Now, if you were to utilize the Vertex.pagerank method in igraph (analogous to a specialized tool for analyzing coffee blends), what would be the PageRank value of vertex 1?
### Response:
import igraph as ig

# Create a simple graph
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 0), (1, 3)])

# Calculate pagerank for all vertices
pageranks = g.vs.pagerank()

# Access pagerank for a specific vertex, e.g., vertex with id 1
vertex_pagerank = g.vs[1].pagerank()

# Output the pagerank of the specific vertex
print('Pagerank of vertex 1:', vertex_pagerank)
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