<｜begin▁of▁sentence｜>### Instruction:
As a cultural anthropologist studying human behavior in urban communities, you have been analyzing social networks within a neighborhood. You have collected data on the connections between individuals, represented by a graph with the edge set [(0, 1), (0, 2), (1, 3), (2, 3), (3, 4)]. Now, you are interested in using the networkx library to find all the shortest paths from a central figure, node 0, to an influential individual, node 4. However, you are uncertain about the specific steps to achieve this using the get_all_shortest_paths function. Can you provide insight into how this can be accomplished?
### Response:
import igraph as ig

# Create a new graph with predefined edges
g = ig.Graph(edges=[(0, 1), (0, 2), (1, 3), (2, 3), (3, 4)])

# Get all shortest paths from vertex 0 to vertex 4
paths = g.get_all_shortest_paths(0, to=4)

# Print the paths
for path in paths:
    print(path)
<|EOT|>
