Did you know you can write Javascript in the Neo4j console to access the Neo4j API?
Try it. Open up your Neo4j Web Admin Console and type:
neo4j-sh (0)$ eval db
EmbeddedGraphDatabase [data/graph.db]
OMG! I know, Neo4j is crazy. So much to play with, I’ve been at it for a few years and I haven’t even dug into this area. What else can we do here?
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Michael Hunger imported the Hubway Challenge dataset into a Neo4j graph database, and made it available for us to play with.
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Social applications and Graph Databases go together like peanut butter and jelly. I’m going to walk you through the steps of building an application that connects to Facebook, pulls your friends and likes data and visualizes it. I plan on making a video of me coding it one line at a time, but for now let’s just focus on the main elements.
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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.
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We’ve seen some pretty nice visualizations of nodes and their immediate neighbors, but we want to be able to visualize more. So we’re going to prepare a 200 node network, use Cypher to extract the data we want and visualize it with D3.js.
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Like I promised in my previous post, I wanted to do a little something on D3.js.
We are going to take one of their example visualizations and visualize a follows graph.
To create our graph, we will take the names of 20 people: create nodes for them, add them to an index, and randomly link them together.
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If you’re into NoSQL and Graph Databases like Neo4j, then you’ll probably tend to be working on back-end development. If you’re lucky enough to work in a team of specialists, some UX guy will come up with user requirements, hand them off to a UI gal for design, who will then pass it on to a Javascript Ninja to slice it together and they’ll just ask you provide the data and stuff it in a JSON object.
If you’re not so lucky and are working on pet projects by yourself then you’ll have to do it all. So I wanted to give you a little nudge into learning a visualization framework. Since my most popular blog post so far has been Graph Visualization and Neo4j and we’ve already seen one example that you’ll probably want to customize in your projects, we’ll stick with processing.js, and in the future I can do a little intro on D3.js, Unveil.js and maybe something a little crazier like VVVV.js.
So getting started is really easy. We’ll create an html document, add the minified processing javascript library and create a canvas element to put our visualization.
<!DOCTYPE html> <html> <head> <title>Hello World - Processing.js</title> <script src="processing-1.3.6.min.js"></script> </head> <body> <canvas data-src="helloworld.pjs"></canvas> </body> </html>
All right, let’s create the helloworld.pjs we reference as our canvas data source.
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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 visualizes it. I extracted the visualization, and hosted it on github as neovigator. You can get your very own visualization up and running or take a look at this instance running on Heroku.
Max De Marzi 