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See What the Graph Sees: Demystifying PageRank Through Visual Storytelling

Session Track: Data Intelligence

Session Time:

Session description

Ever wondered what truly happens inside the PageRank algorithm as it unfolds? This talk invites you to slow down and visualize the inner workings of one of the most iconic graph algorithms. Instead of treating Neo4j Graph Data Science as a black box, we’ll crack it open, capturing intermediate states, tracking iterations, and observing how influence propagates across a network. Using Neo4j Bloom, NeoDash, and graph state machines, we’ll bring PageRank to life through visual storytelling. Whether you’re a curious beginner or a seasoned GDS user, you’ll walk away with a deeper, more intuitive understanding of how PageRank operates—step by step, byte by byte.

Speaker

photo of Nicolas Rouyer

Nicolas Rouyer

Senior Pre-Sales Engineer, Neo4j

Nicolas Rouyer is Solutions Engineer Team Lead of Europe South at Neo4j, with 25 years of experience in IT. He previously worked at Orange, the leading telecom company, as a Big Data expert, and before that in various GSI companies. Nicolas is the author of the book "Neo4j - A Graph Project Story" and regularly broadcasts 10-minute Youtube videos in French on graph technology.