<｜begin▁of▁sentence｜>### Instruction:
As an expert in networkx, you want to analyze a GML-formatted file that represents connections between different advertising platforms and their clients. Your goal is to identify clusters of closely connected platforms and clients, with each cluster having at least three connections. How can you use networkx to decompose the graph into strongly connected components meeting this criterion?
### Response:
import igraph as ig

# Load a graph
filename = 'network_file.gml'
g = ig.read(filename)

# Decompose the graph into strongly connected components with at least 3 vertices each
components = g.decompose(mode='strong', minelements=3)

# Print the number of components and their summary
print(f'Number of components: {len(components)}')
for component in components:
    print(component.summary())
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