<｜begin▁of▁sentence｜>### Instruction:
As a paleontologist, you may have a collection of fossils and data related to their locations and geological periods. In this scenario, imagine you have a set of fossils representing different time periods and locations. You're interested in understanding the connections and interactions between fossils from a particular time period. By using the bipartite_projection_size function in networkx, you can determine the number of connections or edges in the projection of fossils from a specific time period, allowing you to uncover patterns and relationships within the fossil record.
### Response:
import igraph as ig

# Create a bipartite graph
edges = [(0, 1), (0, 2), (2, 3), (4, 1)]
types = [1, 0, 0, 1, 1] # 0 for one type, 1 for another
g = ig.Graph.Bipartite(types, edges)

# Get the projection size for one of the parts
projection_size = g.bipartite_projection_size(which=0)

print(f'Projection size for part 0: {projection_size}')
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