Explore our webinars,
reports and articles
Filter:
Everything you need to start creating effective data models that’ll help your users find insight in connected data – fast.
Want to know how to do timeline data modeling? We explore best practices with real-world examples of the best timeline modeling strategies.
We explore basic color theory, and how carefully-chosen colors can help make your visualizations look good, and make your data more compelling.
Discover how we use KeyLines and KronoGraph to create data flow visualization apps, essential for investigating financial fraud, AML & more.
We explore map data visualization: what it is, what it’s for, and why you need it if you’re serious about analyzing connected data.
An easy introduction to social network centrality measures. Learn more about degree, betweenness, closeness, eigencentrality and PageRank centrality.
Discover some of the game-changing graph design features of KeyLines and ReGraph, our graph visualization software development toolkits.
Our Sequential layout is the best choice for tiered data containing distinct levels of nodes. Find out what makes it so powerful and effective.
PageRank centrality & EigenCentrality are powerful graph functions in our visualization technology. Discover what they are & how they work.
We look at six key areas of rapid change across the industries, and how successful organizations use link analysis techniques to keep pace.
Are you new to graph visualization? Get an introduction to the node-link graph model, and why you should visualize your graph data.
Discover 5 timeline and graph visualization UX tips for building beautiful and intuitive charts and timelines for network and event analysis.
How to build graph visualization tools that are accessible to all your users, including keyboard shortcuts and selecting appropriate colors.
Graph analytics essentials: what they are, why they’re important, and how they provide a deeper understanding of graph visualizations.
Let’s explore the most popular dynamic network visualization methods, and how our data visualization toolkits handle time-based data.
Want to create visual models that deliver the best user experience (UX)? You’ll see how keeping things simple in is the key to success.
The first step in the data cleansing process is understanding where data quality issues exist. We explore some common quality issues, using real datasets.
Take a tour of the automatic graph layouts and force-directed layouts that our customers use to make sense of their complex connected data.
Find out which link analysis techniques would work the best for your industry? We look at 6 popular ways to improve investigative workflows.