What is graph visualization?
Graph visualization, sometimes called ‘link analysis’ or ‘network visualization’, is the process of visually presenting networks of connected entities as nodes and links.
If you need to understand connections in your data, there can be huge advantages to looking beyond your ‘flat’ data model with a powerful visualization software.
Why graph visualization?
The world is densely connected. If there’s an interesting relationship in your data, you’ll find value in graph visualization.
Exploring networks as node-link structures instantly makes sense, even to people who’ve never worked with connected data before.
Learn when and how to visualize graphs.
Our brains are great at spotting patterns, but only when the info is in a tangible format. It helps you identify trends and outliers quickly.
See how we used graph visualization to spot patterns in Bitcoin data.
It lets you simplify complexity, see context and understand detail. With one chart, you can get an overview or dive into specific connections.
Find out more in Five steps to tackle big graph data visualization.
Through interactive data analysis, you gain deeper knowledge and understand context. That’s hard to achieve with a static, aggregated visualization.
Find out more in Designing your best app.
Our white papers introduce data visualization topics,
from use cases to specific techniques.
Want to try it for yourself?
Some commonly asked questions
KeyLines and ReGraph are two software development kits (SDKs) we’ve built to help developers create powerful graph visualization tools. You can learn more about them over here.
We’re the world’s leading supplier of data visualization technology. From law enforcement to cybersecurity and fraud detection, we work with organizations around the globe. Every day, thousands of analysts rely on our technology to ‘join the dots’ in data and uncover hidden threats.
More than 200 customers worldwide use our SDKs, from government agencies, police forces and global banks, software vendors and technology start-ups.
Off-the-shelf applications have a defined user interface and experience built into the software – a one-size-fits-all approach. SDKs give the flexibility to design and build custom applications that look and behave as your users need them to. These custom applications are easier to use and more effective as a result. Read more about it in Open source vs SDK
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