HCFeb 23, 2017

Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies

arXiv:1702.07099v211 citationsHas Code
AI Analysis

This provides researchers and practitioners with a scalable tool for exploring large graph datasets, though it appears incremental as it builds on existing web technologies.

The paper tackles the problem of visualizing large graphs by developing Carina, an interactive system that uses web browser technologies to render million-node graphs quickly via WebGL, and it handles graphs with up to 69M edges without storing the full graph in RAM.

We are working on a scalable, interactive visualization system, called Carina, for people to explore million-node graphs. By using latest web browser technologies, Carina offers fast graph rendering via WebGL, and works across desktop (via Electron) and mobile platforms. Different from most existing graph visualization tools, Carina does not store the full graph in RAM, enabling it to work with graphs with up to 69M edges. We are working to improve and open-source Carina, to offer researchers and practitioners a new, scalable way to explore and visualize large graph datasets.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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