Neo4j Blog

On Monday, April 15, thousands of graph enthusiasts around the world will come together to celebrate Leonhard Euler's birthday – the inventor of graph theory. With over 40 events across 5 continents – in places like São Paulo, London, San Francisco, Bengaluru, Canberra, Austin, Tokyo and more – you’re likely to find a celebration near you. Browse all events on... Read more →

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series is designed to help you better utilize graph analytics and graph algorithms so you can effectively innovate and develop... Read more →

This Neo4j community has had another busy week. We launched a revamped Intro to Neo4j online course, available for the bargain price of $0. Irfan Karaca and I had fun showing off Neuler - a Graph App that lets you run Graph Algorithms over your data without writing any code. David Allen does a deep dive into running Neo4j on Kubernetes, Dave Fauth shows us how to work with the Uber H3... Read more →

"Graphs are transforming the way we approach our client conversations," said Dave Stevens, Distinguished Architect at DXC Technology. DXC Technology is a service provider, helping clients deal with massive shifts around digital disruption and digital transformation. Graph technology enables DXC to dynamically track influences and relationships between industry trends, client roadmaps and... Read more →

Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and "graph problems" in my non-working life. Hopefully these posts help you see more graphs in the world. If you’d like to share graphs you find in the wild, leave a post on the Neo4j community site, or send me a tweet (@joedepeau). There are few things more... Read more →

Editor’s Note: This presentation was given by Laura Drummer at GraphConnect New York in November 2017. Presentation Summary Traditional social network analysis is performed on a series of nodes and edges, generally gleaned from metadata about interactions between several actors – without actually mining the content of those interactions. By pairing this metadata with data and... Read more →