<｜begin▁of▁sentence｜>### Instruction:
As a film producer overseeing the production of a new movie, you're tasked with managing various aspects, including financing, casting, and distribution. In order to ensure the success of the film, you rely on data analysis tools like igraph to understand the network of relationships within the industry.

Now, imagine you've collected data on the connections between actors, directors, and producers involved in your latest project, stored in a file named "graph_data.gml". Within this network, each node represents a person involved in the film, and edges represent relationships or collaborations between them.

Your team needs to determine the influence of a specific individual, let's say an actor, represented by vertex index 5 in the graph. You're interested in understanding how many connections this actor has within the network, particularly focusing on the number of incoming connections, or "in-degree".

To achieve this, you're considering utilizing the `Vertex.indegree` method provided by igraph to compute the in-degree of vertex 5, giving you valuable insights into the actor's level of influence and connectivity within the film's network.
### Response:
from igraph import Graph, Vertex

# Load your graph from GML file
g = Graph.Read_GML('graph_data.gml')

# Select a vertex
v = g.vs[5] # Assuming you want to check the indegree of vertex with index 5

# Calculate the indegree of the vertex
v_indegree = v.indegree()

print('In-degree of vertex 5:', v_indegree)
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