Tag Archives: d3.js

Sep 11 2014
3 Comments
Cypher, Deployment, Heroku, Neography, Problems, Visualization

Tracking User Paths in an IVR with Neo4j

I started my software development career writing applications for a Call Center at a small bank in Florida. I remember the bank had purchased whatever the “Cadillac” of Interactive Voice Response (IVR) systems was then for some crazy amount of money. Today you can build an IVR overnight using Twilio.

twilio

When you sign up with Twilio, you get to choose your phone number (more or less). For example, I picked +1 (636) 451-7411, which spells out +1 (neo) 4j1-7411. If you were to call this number right now (assuming I have not run out of Twilio credits) you’ll connect to my IVR.
Continue reading →

Tagged , , , , ,
Oct 11 2012
4 Comments
Cypher, Visualization

Hubway Data Visualization Challenge with Neo4j

Michael Hunger imported the Hubway Challenge dataset into a Neo4j graph database, and made it available for us to play with.
Continue reading →

Tagged , , , , , , ,
Aug 17 2012
23 Comments
Cypher, Heroku, Neography, Visualization

NeoSocial: Connecting to Facebook with Neo4j

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.
Continue reading →

Tagged , , , , , , , ,
Mar 26 2012
2 Comments
Gremlin, Visualization

Visualizing a set of Hiveplots with Neo4j


What should a graph look like and how can I tell two graphs apart?

Continue reading →

Tagged , , , , , ,
Mar 16 2012
3 Comments
Cypher, Gremlin, Heroku, Visualization

JUNG in Neo4j – Part 2

A few weeks ago I showed you how to visualize a graph using the chord flare visualization and how to visualize a network using a force directed graph visualization from D3.js.

On Twitter Claire Willett from Riparian Data asked:
https://twitter.com/#!/RiparianData/status/169099913580396544

This post on Graphs Beyond the Hairball by Robert Kosara explains why some non-traditional graph visualizations may work better and links us to an article explaining what a Node Quilt is and how it’s useful. We’re going to just take the first step and build a Matrix representation of a graph. We will use one of the JUNG clustering algorithms to help us understand it.
Continue reading →

Tagged , , , , ,
Feb 13 2012
10 Comments
Cypher, Visualization

Visualizing a Network with Cypher and D3.js

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.
Continue reading →

Tagged , , , , , , ,