Uncovering Redundant Metrics in Networks Could Simplify Data Analysis
The article explores how different ways of measuring the importance of nodes in complex networks are related to each other. By analyzing six different centrality metrics, the researchers found that some of them are closely related and can be used interchangeably. This means that simpler metrics can be used instead of more complex ones without losing much information. This study helps us understand how networks function and how we can simplify our analysis of them.