<｜begin▁of▁sentence｜>### Instruction:
As a research analyst, you're tasked with gathering, examining, and understanding data pertinent to your field of study or inquiry. Imagine you're working on a project focused on analyzing the structure of social networks within a community. In this scenario, you come across a dataset named 'network.net' in Pajek format, which potentially holds valuable information about the connections between individuals.

Your task is to devise a method to extract this data and convert it into a format that can be easily analyzed. Specifically, you're looking to import the graph from the 'network.net' file into an igraph.Graph object, a crucial step in your analysis process. You need to outline the steps or techniques required to achieve this transformation, leveraging your knowledge of data manipulation and software tools like igraph's API.
### Response:
from igraph import Graph

# Assuming we have a file named 'network.net' in Pajek format
file_name = 'network.net'
format_type = 'pajek'

# Read the graph from the specified file
graph = Graph.Read(file_name, format=format_type)

# Print summary of the graph
print(graph.summary())
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