<｜begin▁of▁sentence｜>### Instruction:
As a nuclear engineer working on a new nuclear power plant project, you are tasked with ensuring the safety and reliability of the plant's network infrastructure. Using the networkx library in Python, you can analyze the graph data representing the plant's network connections and determine the number of strong connected components present. This information will help in optimizing the plant's operational efficiency and security protocols. Can you use the networkx API to identify the number of strong connected components in the network graph and provide a breakdown of which nodes belong to each component?
### Response:
from igraph import Graph

# Read the graph from a file
g = Graph.Read('network.gml')

# Find the connected components (assuming a directed graph)
components = g.connected_components(mode='strong')

# View the membership of each node in their respective component
print(components.membership)

# Count the number of connected components
print('Number of connected components:', len(components))
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