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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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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When embarking on a new Neo4j project, one of the things you have to figure out is where to run it. Most of the time the answer is just your laptop. Other times, using Heroku works great. However, if you are at the stage of your testing where you have billions of nodes and relationships, you need something a little bigger.
If you are not ready to commit to purchasing a 100k server for testing, then I suggest you borrow one for a short time. You can try to spin up an Amazon EC2 instance, the high memory large ones go up to 60 gigs of RAM. But what if you need more? Lots more?
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It is interesting to see how node, relationship and property records are stored differently on disk and in the cache.
It is all linked lists of fixed size records on disk. Properties are stored as a linked list of property records, each holding a key and value and pointing to the next property. Each node and relationship references its first property record. The Nodes also reference the first relationship in its relationship chain. Each Relationship references its start and end node. It also references the previous and next relationship record for the start and end node respectively.
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A tweet from RiparianData caught my eye the other day:
https://twitter.com/RiparianData/status/222319315800698880
I built getvouched.com with this idea of “expert and expertise discovery” using skill based vouching adjusted by the distance from searcher to target as a way to find rank. So I dug in and found out that Human-computer Information Retrieval (HCIR) combines research from the fields of human-computer interaction (HCI) and information retrieval (IR), placing an emphasis on human involvement in search activities.
The HCIR challenge for this years symposium includes “hiring,” “assembling a conference program,” and “finding people to deliver patent research or expert testimony” as summarized by Patrick Durusau.
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Update: Code to this project is available on Github.
In the US Air Guitar Championships, competitors use their talents to fret on an “invisible” guitar to rock a live crowd and deliver a performance that transcends the imitation of a real guitar and becomes an art form in and of itself. The key factor that determines the winner is having the elusive quality of “Airness“. When considering using Neo4j in a project, one of the key considerations is having a domain model that yields itself to a graph representation. In other words, does your data have “Graphiness“. However, it didn’t dawn on me until recently that when starting a proof of concept, you probably don’t have that data (or enough of it) or maybe your security guys won’t let you within 100 miles of the company production data with this newfangled nosql thingamajig.
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At the end of February, we took a look at Michael Hunger’s Batch Importer. It is a great tool to load millions of nodes and relationships into Neo4j quickly. The only thing it was missing was Indexing… I say was, because I just submitted a pull request to add this feature. Let’s go through how it was done so you get an idea of what the Neo4j Batch Import API looks like, and in the next blog post I’ll show you how to generate data to take advantage of it.
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You hopefully have seen a TV commercial from “The Man Your Man Could Smell Like” marketing campaign put on by Old Spice, and you may have seen some of the over 100 videos Isaiah Mustafa appeared in responding to comments made on Twitter. This is a great example of personalization, and today you’ll learn how you can bring some personalization to your application, and you won’t need muscles or a horse.
We’re going to dust off the Neoflix project from the beginning of the year and add a few features. It has been updated to work on Neo4j version 1.7 and allows searching for movies that have a quote. Thanks to Jenn Alons and Vince Cima for the bug fixes during WindyCityDB.
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Thank you again to Groupon Engineering! They hosted our Graph Database Meet-up at their Headquarters.
Join us May 31st, 2012 for our next meet-up Add data from your existing Application into Neo4j.
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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