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Graph visualization: dealing with starbursts
In this final post in our three-parter exploring the typical challenges you face when visualizing your graph data for the first time, we look at the ‘starburst’ – a pattern where one heavily connected...
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Choosing colors for your data visualization
Colors can make or break your data visualization. A carefully selected color palette helps you to harness the pre-attentive processing powers of the human brain, and makes insight clearer and easier to...
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How to visualize very large networks and still uncover insight
We’re often asked about visualizing very large graphs. It’s a common belief that if a few nodes can generate some insight, a few thousand nodes will generate lots of insight. That’s not automatically...
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Link analysis for fraud detection
Insurance fraud detection is a matter of understanding connections. To uncover scams, investigators look for unusual links between people, events, locations and times. They scour huge, noisy, complex,...
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How to visualize a (musical) knowledge graph
Are you a music expert? Do you know your punk from your post-punk? If you don’t, you’ll probably look it up in the world’s biggest knowledge graph: Google. And the top search results will most likely...
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Serious playtime with the ReGraph playground
ReGraph, our graph visualization toolkit for React developers, now includes a game-changing new feature for developers: an interactive code editor and live chart. It’s called the ReGraph playground,...
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Visualizing the Amazon Neptune database with KeyLines
Back in 2017, Amazon launched Amazon Neptune, a hosted graph database service with an engine optimized for storing billions of relationships and querying the graph with milliseconds of latency. This...
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Our non-corporate graduate program for developers
We’ve managed a successful summer internship program for many years. A graduate scheme was the logical next step, so we launched our 12-month graduate program back in 2018. The plan was for STEM...
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Latest product updates: automatic sequential layouts
We’re always trying to make life easier for our users. This time around, we’ve automated the way sequential layout places nodes, and created a new API to help with integration testing. There are also...
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How ReGraph’s powerful performance measures up
Picture this: your dev team spends time and effort creating a quality graph visualization application for your users. It integrates seamlessly with your chosen graph database. It’s intuitively designed...
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Building engaging visualization tools for cyber analysts
Cyber security analysts have a tough job. IP information, server logs, communications records: the data they need to understand is big, complex, and generated every millisecond. If they don’t do it...
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Data cleansing with graph visualization
Wherever there is data there are data quality issues. A common challenge faced by our customers is how to clean their data so that it’s a reliable source for analysts and end-users to explore. Data...
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Graph visualization basics pt1: Why graphs?
Are you new to graph visualization? Are you keen to understand the basics? Do you need answers to some fundamental graph questions before you add graph visualization to your own applications? In this...
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Putting data first: state-driven app design for graph visualization
We took a radical approach when we built our graph visualization toolkit for React developers, and ReGraph is one of the few state-driven graph visualization solutions on the market. Introducing...
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Latest product updates: intuitive layout adjustments
In the latest updates to our graph visualization toolkits you’ll find clever adaptive layout options, a clearer way to look at sequential data, and (by popular demand) a slick new option for styling...
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Visualizing Cyber Security Graphs: Data Breaches
Visualizing Data Breach Patterns Data sharing presents a huge challenge to the cyber security industry. When organizations are compromised, the common response is to switch to self-preservation mode....
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Graph visualization basics pt2: designing your best app
Part 1 of our graph visualization series for beginners covered the basics of graphs and graph modeling. In part 2, we focus on some practical techniques for building a graph visualization app. Follow...
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The best way to test a data visualization toolkit
In this blog post, Roger Murby tells us what life’s like as a software test engineer here, and explains how he found the best way to test our data visualization toolkit technology. Starting my data...
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Graph visualization basics pt3: building the visual data model
Earlier in this series, we walked through an introduction to graph data, and some of the visualization best practices you should keep in mind when designing your own graph application. You might have...
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How visualizations help design the best strategic collaborations
We’ve blogged many times about how our data visualization technology makes the world safer. But our KeyLines and ReGraph toolkits aren’t restricted to security, anti-fraud or intelligence tools....
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