Description: Edge bundling is a data visualization technique used to represent complex networks in a clearer and more understandable way. This methodology involves grouping edges or connections between nodes, which helps reduce visual clutter and facilitates the interpretation of information. In networks with a large number of interactions, such as social, biological, or transportation networks, edge bundling helps highlight significant patterns and relationships that might go unnoticed in a denser representation. By simplifying the visualization, it enhances analytical capacity and allows users to quickly identify the most relevant connections. This technique is based on principles of graphic design and graph theory, and is often implemented in various data visualization software tools. Its relevance lies in the growing need to analyze large volumes of interconnected data across various disciplines, including computer science, biology, sociology, and economics. In summary, edge bundling is an essential tool for effective visualization of complex networks, allowing for a better understanding of the underlying dynamics in the data.
