A Beginner's Guide to Graph Visualization
Ready to start your first graph visualization project but not sure how? Keen to learn the basics of graph visualization and what it can do for your organization? Or looking for a non-technical, high-level intro to graph visualization? Way back in 2017, we recorded our first beginner’s guide to graph visualization. Since then, nearly 25,000 of you have followed along for tips and advice on data models, graph visualization techniques, and approaches to geospatial and time-based visualization. But things change fast, with new tools and approaches, so we’ve re-recorded the session. In this updated webinar, our Chief Product Evangelist Corey Lanum covers: Graph data modelling Visualization tips and tricks Graphs that vary over time Graphs with locations What is graph visualization? #GraphVisualization, sometimes called link analysis or network visualization, is the process of visually presenting networks of connected entities as nodes and links. Connected data is all around us. Every meeting, financial transaction, phone call and digital footprint is part of a network of connected entities. Visualizing those connections helps to reveal hidden relationships, and that’s where graph visualization comes in. If you need to understand connections in your data, there are huge advantages to looking beyond a ‘flat’ data model with powerful graph visualization software. Our graph visualization tools help law enforcement, cyber security and fraud detection analysts join the dots in their data and uncover hidden threats. You’ll find more details about graph visualization at http://www.cambridge-intelligence.com, but this session is a great way to kick off your graph visualization journey.

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