<｜begin▁of▁sentence｜>### Instruction:
As a network administrator, you've been tasked with optimizing the data flow within a computer network. The network consists of several interconnected devices, and each connection has a specific data capacity. Your goal is to determine the maximum amount of data that can be reliably transferred from a designated source device to a target device. How can you use NetworkX, a Python package for the creation, manipulation, and study of complex networks, to calculate the maximum flow in the network?
### Response:
from igraph import Graph

# Create the graph with edges and capacities
g = Graph([(0, 1), (0, 2), (1, 2), (1, 3), (2, 3)], directed=True)
g.es['capacity'] = [10, 2, 1, 4, 8]

# Compute the maximum flow between vertex 0 (source) and vertex 3 (target)
maxflow = g.maxflow(0, 3, capacity='capacity')
flow_value = maxflow.value
flow_dict = maxflow.flow

# Print the results
print(f'Maximum flow value: {flow_value}')
print(f'Flow along edges: {flow_dict}')
<|EOT|>
