Videos

If you’re serious about finding insights in connected datasets, graph analytics is essential. These sophisticated algorithms from the world of graph theory often assign numeric scores to nodes to help make sense of the data. But business users shouldn’t need data scientist-level expertise to interpret graph analytics. They simply want to know what’s really going on: Who has the most influence? Who is well-connected? Who belongs to which hidden subgroup? So how do we help users understand graph analytics in an intuitive way so that they can make fast business decisions? Graph visualization is a proven method for displaying analytical data to non-experts. It’s effective because it binds analytically derived metrics to instantly recognizable visual properties like color, size, icons, and link widths. This is how developers create powerful graph visualization applications that reveal insights that remain hidden in traditional graph representations. In this session, Corey Lanum, a data visualization expert and Cambridge Intelligence’s chief product evangelist, demonstrates how to present graph analytics in a way that users can understand easily. Using Neo4j’s graph algorithms, along with complementary front-end analytics techniques from KeyLines and ReGraph graph visualization toolkits, he will focus on a fascinating dataset featuring large charitable donations that will reveal key donors, recipients, communities, and interesting donation patterns through the universal language of visualization. Speakers: Corey Lanum Format: Full Session 30-45 min Level: Intermediate Topics: #visualization , #general , #financial , #intermediate Region: AMERICAS Slides: https://dist.neo4j.com/nodes-20202-slides/015%20Demystifying%20Graph%20Analytics%20With%20Visualization%20-%20NODES2022%20AMERICAS%20Intermediate%206%20-%20Corey%20Lanum.pdf Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com