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Last week we saw Sigma.js, and as promised here is a graph visualization with Three.js and Neo4j. Three.js is a lightweight 3D library, written by Mr. Doob and a small army of contributors. The things you can do with Three.js are amazing, and my little demo here doesn’t give it justice, but nonetheless I’ll show you how to build it. We need to pass the nodes and relationships to Three.js, one of t
So far we’ve learned how to get Neo4j up and running with Neography, how to find friends of friends and degrees of separation with the Neo4j REST API and a little bit of the Gremlin and Cypher languages. However, all we’ve seen is text output. We haven’t really “seen” a graph yet, but that’s about to change. Vouched holds a graph of skill specific recommendations people have made to each other and
Getting started with Ruby and Neo4j is very easy. Follow these steps and you’ll be up and running in no time. First we install the neography gem: Using Bundler: echo "source 'http://rubygems.org' gem 'neography' " > Gemfile bundle install Without Bundler: gem install neography Then we’ll add our tasks to a Rakefile, download Neo4j and start it: echo "require 'neography/tasks'" > Rakefile rake neo4
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