<｜begin▁of▁sentence｜>### Instruction:
As a registered nurse working at a hospital, you may be interested in utilizing the capabilities of the 'igraph' library to calculate the modularity matrix for a specific directed graph with weighted edges. This can help you analyze and understand the interconnectedness of various factors that impact patient care and outcomes. For example, you can consider a scenario where the weighted edges represent the strength of relationships between different aspects of patient care, such as medication adherence, treatment effectiveness, and support systems. By incorporating the directed parameter as True and specifying the resolution and weights, you can gain insights into how these factors influence the overall modularity within the healthcare setting and potentially optimize care strategies.
### Response:
import igraph as ig

# Create a graph
edges = [(0, 1), (1, 2), (2, 3), (3, 0)]
weights = [1, 2, 1, 3]
g = ig.Graph(edges=edges, directed=True)

# Calculate the modularity matrix with specified weights and resolution
mod_matrix = g.modularity_matrix(weights=weights, resolution=1.0, directed=True)

# Print the modularity matrix
print(mod_matrix)
<|EOT|>
