<｜begin▁of▁sentence｜>### Instruction:
As a Social Media Influencer, imagine you've been collaborating with a network analysis expert to enhance your online engagement strategies. Recently, you received a file named "graph_data.gml" containing data about your social media network, representing connections and interactions among your followers and influencers. Now, you're seeking to leverage the capabilities of the igraph library to analyze this network.

Your collaborator has suggested using the `get_sizes` function from the `VertexCollection` API in igraph to gather insights into the sizes of different vertex collections within your social media network. In simpler terms, you want to understand the scale of various groups or clusters within your network to tailor your content and engagement approaches effectively.

How would you employ the `get_sizes` function to retrieve and print the sizes of these vertex collections, helping you gain valuable insights into your social media network's structure and dynamics?
### Response:
import igraph as ig

# Read a graph from a .gml file
g = ig.read('graph_data.gml')

# Get the size of vertex collection
vertex_sizes = g.vs.get_sizes()

# Print the sizes of vertex collection
print(vertex_sizes)
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