<｜begin▁of▁sentence｜>### Instruction:
As a Diversity and Inclusion Consultant, you've been approached by a tech company that is seeking to enhance its internal networks by leveraging graph analysis to foster diversity and inclusion. They have recently used the NetworkX package in Python to create a complete graph with 5 vertices representing members of their organization, and now they are interested in utilizing the `Graph.from_networkx` functionality in the igraph package to convert this graph to an igraph graph. Once converted, they would like to obtain a summary of the converted graph to evaluate its structure. How would you approach this task, and what insights might the summary provide to support the company's diversity and inclusion objectives?
### Response:
import igraph as ig
import networkx as nx

# Create a NetworkX graph
gx = nx.complete_graph(5)

# Convert the NetworkX graph to an igraph graph
ig_graph = ig.Graph.from_networkx(gx)

# Print the converted graph summary
print(ig_graph.summary())
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