<｜begin▁of▁sentence｜>### Instruction:
As a science journalist reporting on the field of network analysis, I am often asked how to calculate the multiplicities of edges in a graph with potential multiple edges between nodes. For instance, in a social network dataset where individuals can have multiple types of relationships, such as friendship and professional connections, the count of each type of connection would be crucial for understanding the network structure and dynamics. In this context, one might want to use the 'count_multiple' function in igraph, a popular library for network analysis, to obtain the multiplicities of edges and better comprehend the complexities within the network.
### Response:
import igraph as ig

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

# Count the multiple edges
multiplicity = g.count_multiple()

# Print the multiplicity of each edge
for edge, mult in enumerate(multiplicity):
    print(f'Edge {g.es[edge].tuple} has multiplicity: {mult}')
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