Graph visualization is a field within information visualization that focuses on the visual representation of graphs and networks. Graphs consist of nodes (vertices) and edges (links) connecting them, and can be used to represent a wide range of data structures and relationships. Graph visualization techniques aim to visually represent complex relationships and patterns within the data, making it easier for users to interpret and analyze. Techniques used in graph visualization include node-link diagrams, adjacency matrices, and matrix representations. Graph visualization is applied in various fields such as social network analysis, bioinformatics, and network security.