<｜begin▁of▁sentence｜>### Instruction:
As a Systems Analyst, you're tasked with optimizing information systems to meet user needs and business requirements. Imagine you're working with a company that utilizes a network analysis tool like NetworkX to manage their data infrastructure. Your task involves evaluating and enhancing the efficiency of their network graphs.

You've noticed that the current graph contains redundant components, including self-loops and multiple edges between the same pair of nodes. To improve system performance and usability, you need to streamline the graph by removing these redundancies.

Your role entails assessing the current network infrastructure, gathering insights into user requirements, and identifying opportunities for improvement. By collaborating with IT teams and stakeholders, you aim to define solutions that optimize the graph's performance and enhance its value within the company's data ecosystem.

As part of your analysis, you'll utilize NetworkX APIs to identify and eliminate these redundant components, ultimately ensuring that the graph remains accurate, efficient, and aligned with the organization's objectives.
### Response:
import igraph as ig

# Assuming 'g' is an instance of igraph.Graph with multiple edges and/or loops
print('Before simplification:', g.summary())
g.simplify()
print('After simplification:', g.summary())
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