Network Visualization Survey

摘要

This paper compares modern approaches to draw complex graph data that create create compelling visualizations. Graphs are used to represent more and more complex systems that are used across various scientific domains. Some graph visualizations are used to model network topologies or service architectures in information service fields, model genomes in biomedicine or complex molecules in chemistry. Visualizations of graph data play important role in interpreting the meaning of graphed data. The adage "A picture is worth a thousand words" generally refers to the notion that a complex idea can be conveyed with just a single still image and that is actually the main reason for creating visualisations of any kind. Graph drawings from all domains follow the same rules covered by the graph theory. This work outlines different layout strategies used for drawing graph data. Tested graph drawing layouts are compared by standard quality measures to determine their suitability for various areas of usage.