<｜begin▁of▁sentence｜>### Instruction:
As a Podcast Producer, imagine you have a library of recorded interviews stored in a database. Your task is to analyze these interviews using a tool like `igraph`. How would you approach computing a greedy vertex coloring for the connections between the interviewees based on the information gathered during these interactions?
### Response:
from igraph import Graph

# Create an example graph or read from a file
g = ig.read('graph_example.gml')

# Calculate a greedy vertex coloring for the graph
coloring = g.vertex_coloring_greedy()

# Print the result
print(coloring)
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