<｜begin▁of▁sentence｜>### Instruction:
As a computational biologist, you're exploring the complexities of protein-protein interaction networks. Imagine you have a dataset containing the interactions between 10 proteins. These interactions can be represented as a graph, where each protein is a vertex, and there's an edge between them if they interact.

Now, let's say you want to understand the symmetry within this network, which is crucial for comprehending its functional organization. To do this, you're interested in determining the number of automorphisms in this protein-protein interaction graph.

Using the NetworkX library in Python, you can analyze the graph's symmetries. By applying the appropriate functions, you can ascertain the number of automorphisms, providing insights into the network's structural stability and potential functional redundancies.
### Response:
from igraph import Graph

g = Graph.Erdos_Renyi(n=10, p=0.5)
automorphisms_count = g.count_automorphisms()
print(f'Number of automorphisms of the graph: {automorphisms_count}')
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