Interactive Visual Graph Analytics on the Web


  • Nesreen Ahmed Purdue University
  • Ryan Rossi Purdue University



Visual Analytics, Visual Graph Analytics, Web-based Visual Analytics, Network Visualization, Interactive Visualization, Interactive Graph Mining, Interactive Graph Generation, Exploratory Analysis, Dynamic Network Analysis, Multi-level Visual Analytics


We present a web-based network visual analytics platform called GraphVis that combines interactive visualizations with analytic techniques to reveal important patterns and insights for sense making, reasoning, and decision-making. The platform is designed with simplicity in mind and allows users to visualize and explore networks in seconds with a simple drag-and-drop of a graph file into the web browser. GraphVis is fast and flexible, web-based, requires no installation, while supporting a wide range of graph formats as well as state-of-the-art visualization and analytic techniques. In particular, the multi-level network analysis engine of GraphVis gives rise to a variety of new possibilities for exploring, analyzing, and understanding complex networks interactively in real-time. Finally, we also highlight other key aspects including filtering, querying, ranking, manipulating, exporting, partitioning (community/role discovery), as well as tools for dynamic network analysis and visualization, interactive graph generators (including two new block model approaches), and a variety of multi-level network analysis and statistical techniques.




How to Cite

Ahmed, N., & Rossi, R. (2021). Interactive Visual Graph Analytics on the Web. Proceedings of the International AAAI Conference on Web and Social Media, 9(1), 566-569.