A Web-based Interactive Visual Graph Analytics Platform
Nesreen K. Ahmed, Ryan A. Rossi

TL;DR
This paper introduces GraphVis, a fast, web-based platform for interactive, real-time graph visualization and analysis, enabling users to explore networks at multiple levels with immediate feedback and novel analytic tools.
Contribution
The paper presents a novel web-based platform combining real-time interactive visualization, multi-level analysis, and new graph analytic techniques for network exploration and understanding.
Findings
Real-time visualization and exploration within seconds
Supports multi-level, dynamic graph analysis with immediate feedback
Includes novel techniques for role discovery and community detection
Abstract
This paper proposes a web-based visual graph analytics platform for interactive graph mining, visualization, and real-time exploration of networks. GraphVis is fast, intuitive, and flexible, combining interactive visualizations with analytic techniques to reveal important patterns and insights for sense making, reasoning, and decision making. Networks can be visualized and explored within seconds by simply drag-and-dropping a graph file into the web browser. The structure, properties, and patterns of the network are computed automatically and can be instantly explored in real-time. At the heart of GraphVis lies a multi-level interactive network visualization and analytics engine that allows for real-time graph mining and exploration across multiple levels of granularity simultaneously. Both the graph analytic and visualization techniques (at each level of granularity) are dynamic and…
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Taxonomy
TopicsComplex Network Analysis Techniques · Data Visualization and Analytics · Mental Health Research Topics
