<｜begin▁of▁sentence｜>### Instruction:
As a Journal Editor overseeing the publication process for a scholarly network analysis journal, you're reviewing a submitted research paper. The paper includes an analysis of a directed graph representing social interactions in a community. The graph's edge list is provided: [(0, 1), (1, 2), (2, 0), (2, 3)]. Your task is to determine whether each edge in the graph has a mutual edge, representing an opposite pair of connections. To accomplish this, you're considering leveraging the NetworkX library, a widely used tool for network analysis in Python.
### Response:
from igraph import Graph

# Define the edge list
edge_list = [(0, 1), (1, 2), (2, 0), (2, 3)]

# Create a directed graph with the edge list
g = Graph(edges=edge_list, directed=True)

# Check if each edge has a mutual edge
is_mutual_list = g.is_mutual(edges=None)

# Print the result
print(is_mutual_list)
<|EOT|>
