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 goes into the problem statement we're passionate about solving: most tools today only see static graphs - a single snapshot in time. This approach misses the crucial story of how and when connections form, change, and dissolve. The article details how our foundational technology was the first designed specifically for dynamic graphs, allowing you to analyse a network's entire story instantly by keeping a continuous history of all changes.

It also dives into our origin story, from the creation of the open-source Raphtory tool during our time at the Turing and Queen Mary University of London, to the launch of our company, Pometry.

We're excited that the post showcases several powerful applications of our temporal analysis, including:

• Tracking toxic online communities by observing how they become more insular over time.
• Spotting cryptocurrency fraud by identifying suspicious patterns and mixer services.
• Understanding real-world transport patterns and the effectiveness of public health initiatives.
• Analysing how the meaning of language evolves by tracking the changing connections between words.

Ultimately, the article highlight a fundamental shift we are pioneering: moving from static analysis to dynamic, narrative-driven intelligence in connected, and time-evolving complex systems. Proud to be at the forefront of this new territory in data science.

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