Maps and graphs should be a match made in heaven. The world we live in is a connected one, and graphs can help us make sense of this world, whether we're optimizing a supply chain or investigating international crimes such as money laundering, trafficking, or sanctions evasion.
So how come whenever you try and visualize graph data on a geospatial map, the user experience is at best underwhelming and, at worst, downright confusing?
In this talk, Dan will review some of the most common UI/UX pitfalls encountered when trying to build front-end visualizations that involve both graphs and maps.
Using a stack involving Neo4j, MapWeave, mapbox, and React, he will demonstrate a more effective approach. His example will fuse an open source (OSINT) company ownership knowledge graph with real-time maritime vessel tracking data,and answer questions such as: "How do we visually convey geotemporal connections as part of a wider knowledge graph?" and "How do we turn complex AI-generated graph insights into simple, interactive narratives?"
Speaker
Dan Williams
Chief Product Officer, Cambridge Intelligence
Dan Williams is Chief Product Officer at Cambridge Intelligence. He steers the development of a suite of front-end developer toolkits that can deliver UIs to help people make better decisions from complex connected data.
Dan has more than 25 years experience in software solutions, ranging from aerospace engineering to cybersecurity. His current focus is on understanding how human-machine interfaces need to evolve to support good decision making amid the growing complexity of AI-generated insight and open-source data overload.
Free online courses and certifications. Join the 100K+ Neo4j experts.
Manuals for Neo4j products, Cypher, and drivers
Live and on-demand events, training, webinars, and demos
