<｜begin▁of▁sentence｜>### Instruction:
As a political scientist, you often analyze complex systems, behaviors, and trends to gain a comprehensive understanding of political phenomena. Similarly, in the context of network analysis, you may need to examine the connections and relationships within a given graph. Suppose you are working with a specific graph structure represented by the edges [(0, 1), (1, 2), (2, 3)]. In this scenario, if you are using the igraph library's functionalities, you might utilize the get_edgelist function to obtain the list of edges present in the graph. This process parallels the analytical methods you use to uncover and interpret political dynamics and interactions within various political systems.
### Response:
import igraph as ig
# Create a graph with some edges
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3)])
# Get the edge list
edge_list = g.get_edgelist()
print(edge_list)
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