The Alan Turing Institute: The Dizzy Potential of Dynamic Graphs

We’re thrilled to be featured in a recent article by The Alan Turing Institute that highlights the power of our temporal graph system, Raphtory, in overcoming the limits of traditional data analysis.

The article discusses how static graph analysis has fundamental limitations, and how adding the dimension of time transforms what’s possible. Applications explored include toxic online communities, cryptocurrency fraud detection, transport patterns, and linguistic evolution tracking.

Raphtory was developed from research at The Alan Turing Institute and Queen Mary University of London, and it’s exciting to see the Institute spotlighting its real-world impact.

Read the full article on the Alan Turing Institute website →