What is link analysis?
Link analysis, sometimes called ‘graph visualization’ or ‘network visualization’, is the process of visually presenting networks of connected entities as nodes and links.
Normally, the nodes represent specific data points, and the links represent the connections between them.
If you need to understand connections in your data, there can be huge advantages to looking beyond your ‘flat’ data model with powerful link analysis tools.
Why link analysis?
The world is densely connected. If there’s an interesting relationship in your data, you’ll find value in link analysis.
It’s intuitive
Exploring networks as node-link structures instantly makes sense, even to people who’ve never worked with connected data before.
It’s fast
Our brains are great at spotting patterns, but only when the info is in a tangible format. Link analysis helps you identify trends and outliers quickly.
It’s scalable
Link analysis lets you simplify complexity, see context and understand detail. With one chart, you can get an overview or dive into specific connections.
It’s insightful
Through interactive data analysis, you gain deeper knowledge and understand context. That’s hard to achieve with a static, aggregated visualization.
An objective overview of the KeyLines and ReGraph toolkits
by Bloor – an independent research and analyst house
Link analysis use cases
Connected data is all around us. We help organizations solve their biggest challenges.
Can’t see your use case here? Check out our use cases page.
Law enforcement
Reveal connections, understand patterns, predict behaviors and gain insight that can prove, solve or prevent crime.
Anti-Fraud
Visualize unusual activities and connections to identify, investigate and predict any type of fraud – from identity theft to financial crime.
Security & Intelligence
Uncover threats and critical intelligence to help make the world safer.
Want to try it for yourself?
Why choose our link analysis software?
At Cambridge Intelligence, we help developers build link analysis tools that are 100% customized to their users, their data and the questions they need to answer.
KeyLines for JavaScript developers
ReGraph for React developers
Some commonly asked questions
KeyLines and ReGraph are two software development kits (SDKs) we’ve built to help developers create powerful link analysis tools. Learn more about KeyLines and ReGraph
KronoGraph, our toolkit for timeline visualization, lets you build fully-interactive timelines that reveal how events unfold and how they’re linked. It’s a standalone toolkit that integrates seamlessly with KeyLines and ReGraph, so users get two powerful ways to carry out link analysis. Learn more about KronoGraph
We’re the world’s leading supplier of link analysis 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.
That’s easy! Request a free trial
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 SDKs
Your analysts will not need coding knowledge to use the applications built with our SDKs. However, you will need some JavaScript experience to build and deploy those applications. We’ve worked hard to make that process simple, with first-class support and documentation, and consulting services on stand-by.
We’ve worked hard to ensure KeyLines and ReGraph apps ‘just work’ in any setup. You can keep your existing servers and code in your preferred JavaScript framework. We also have integration guides to help you connect to your favorite database. Check out our products’ technology pages: