Almost two years ago we released the Neo4j Graph Algorithms library, which made it easy for developers to run algorithms like PageRank, Louvain Modularity, and weighted shortest path, amongst others on their graph data.
In January Irfan and I were chatting, and we thought it’d be cool if we could open up the power of graph algorithms to users that don’t want to spend their days writing Cypher code. In this meetup we’ll show you a Graph App that we’ve built called Neuler which aims to solve this problem.
So we’ve got the App, but what data should we use to show it off…
In April Game of Thrones is back for its 8th and final season, and Professor Andrew Beveridge has made character interaction data available for the 7 seasons that we’ve had so far.
In this meetup we’ll use Neuler to analyse Game of Thrones, and while we might not be able to predict who’ll end the show on the throne, we’ll show how graph algorithms can help us understand the show without even watching it.
There probably will be spoilers.
Questions for presenters can be asked on this thread: https://community.neo4j.com/t/neo4j-online-meetup-desktop-graph-analytics-for-the-throne/5436