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Graph visualization describes principles and patterns for rendering nodes and edges graphically, including layout, aggregation, and interaction.
Graph visualization is the concept and practice of representing relational data as nodes and edges, where layout, aggregation, and interaction are central design concerns. It helps analysis, debugging, and communication of complex structures in networks, knowledge graphs, and system architectures through suitable rendering and interaction patterns.
Time the system needs to complete a layout computation.
Average frames per second during interaction.
Time a user needs to complete an analysis task using the visualization.
Visualization of interaction patterns and influencers in communication data.
Representation of service dependencies including latency and error metrics.
Interactive exploration of entities, relations and paths for research purposes.
Analyze data model and requirements, define core questions.
Evaluate and prototype suitable layouts and aggregation strategies.
Introduce interactive components and performance optimizations, test and iterate.