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Jan 28 2013

Facebook Graph Search with Cypher and Neo4j

Update: Facebook has disabled this application

Your app is replicating core Facebook functionality.

Facebook Graph Search has given the Graph Database community a simpler way to explain what it is we do and why it matters. I wanted to drive the point home by building a proof of concept of how you could do this with Neo4j. However, I don’t have six months or much experience with NLP (natural language processing). What I do have is Cypher. Cypher is Neo4j’s graph language and it makes it easy to express what we are looking for in the graph. I needed a way to take “natural language” and create Cypher from it. This was going to be a problem.
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Tagged cypher, facebook, github, graph database, heroku, ruby, search

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.
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Tagged d3.js, github, graph database, heroku, javascript, neo4j, relationship graph, ruby, visualization

Apr 09 2020

Graphs and Pyramids

Question: Do you want to get Rich?
I’ll answer for you: “Yes!”

Follow along with this blog series and if it doesn’t make you rich, you can go back to your youtube videos, you can go back to watching Tiger King on Netflix, you can go back to your crappy life. Let’s continue.

Question: Are you poor? dumb? ugly? do you make bad decisions?
I’ll answer for you: “Yes!”.

If you were not poor, you would be on a yacht in Ibiza and not reading my blog. If you were not dumb you would be doing whatever it is smart people do, I wouldn’t know but I’m pretty sure it’s not reading my blog. If you were not ugly you would be in Paris or Milan murdering the runway instead of reading my blog. If you didn’t make bad decisions you wouldn’t have decided to read my blog which just made you feel sad about your life. See where I’m going with this?

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Tagged graph database, graph databases, java, mlm, neo4j, network, nosql, pyramids, social network, software, technology

Jul 11 2018

6 Comments

Java, Problems

Building a Dating site with Neo4j – Part One

You might have already heard that Facebook is getting into the Dating business. Other dating sites have been using graphs in the past and we’ve looked at finding love using the graph before. It has been a while though, so let’s return to the topic making use of the new Date and Geospatial capabilities of Neo4j 3.4. I have to warn you though that I’ve been with Helene for almost 15 years and missed out on all this dating site fun, what I do know I blame Colin for it and some pointers from the comments section of this blog post.
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Tagged dating, graph database, love, neo4j, network, nosql, performance, relationship graph, social network, software, technology

Apr 10 2017

1 Comment

Java

Building a Twitter Clone with Neo4j – Part Five

In part four, we continued cloning Twitter by adding hashtag and mentions functionality. Then we went beyond it by adding the ability to edit a post. So we have a social network where people can follow each other and post stuff. Today we’re adding the ability to say a user likes a post, reposts a post and the most important query of all, being finally able to see our feed or timeline.
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Tagged graph database, graph databases, java, neo4j, network, social network, software, technology

Oct 28 2016

2 Comments

Cypher, Problems

News Feeds

Ron Burgundy (in Anchorman) gets Hungry

The “News Feed” is a core feature of social networks like Twitter, Facebook, or Vine (RIP). Let’s take a look at how we could model and implement this in Neo4j. Our social network needs Users (otherwise it would be kinda empty) that FOLLOW each other (otherwise it would not be very social). Those users need to POST some Messages (otherwise it would be boring). Here is our first attempt at a model (using Arrows):
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Tagged graph, graph database, neo4j, network, news feed, nosql, relationship graph, social network

Apr 14 2015

2 Comments

Cypher, Problems, Random

Importing the Hacker News Interest Graph

Graphs are everywhere. Think about the computer networks that allow you to read this sentence, the road or train networks that get you to work, the social network that surrounds you and the interest graph that holds your attention. Everywhere you look, graphs. If you manage to look somewhere and you don’t see a graph, then you may be looking at an opportunity to build one. Today we are going to do just that. We are going to make use of the new Neo4j Import tool to build a graph of the things that interest Hacker News.
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Tagged cypher, graph database, graph databases, hacker news, hcir, interest graph, neo4j, network, nosql, relationship graph, ruby, software, technology

Feb 11 2014

5 Comments

Cypher, Problems, Spatial

Neo4j Spatial Part 2

In part 1 of this series we looked at how to get started with Neo4j Spatial and we looked at some of the pieces we’ll use today to build a proof of concept application. I’m calling the application “Nom Nom Nom” in reference to its onomatopoeic meme.

So we’ll get data from Factual, get data from OpenTable, combine them and import them into Neo4j:

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Tagged graph database, neo4j, network, ruby, spatial

Aug 26 2013

Connected

Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives is a mind bending look at how no matter how individual we think we are, the people around us have a great amount of influence in our lives. One of the authors James Fowler was at GraphConnect 2012 and gave a presentation on this idea:
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Tagged connected components, github, graph, graph database, neo4j, network, network topology, nosql

Jul 03 2013

The Last Mile

The “last mile” is a term used in the telecommunications industry that refers to delivering connectivity to the customers that will actually be using the system. In the sense of Graph Databases, it refers to how well the end user can extract value and insight from the graph. We’ve already seen an example of this concept with Graph Search, allowing a user to express their requests in natural language. Today we’ll see another example. We’ll be taking advantage of the features of Neo4j 2.0 to make this work, so be sure to have read the previous post on the matter.

We’re going to be using VisualSearch.js made by Samuel Clay of NewsBlur. VisualSearch.js enhances ordinary search boxes with the ability to autocomplete faceted search queries. It is quite easy to customize and there is an annotated walkthrough of the options available. You can see what it does in the image below, or click it to try their demo.

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Tagged cypher, graph database, graph databases, graph search, neo4j, network, nosql, visualization

Max De Marzi

Graphs, Graphs, and nothing but the Graphs

Matches for: “facebook” …

Facebook Graph Search with Cypher and Neo4j

NeoSocial: Connecting to Facebook with Neo4j

Importing the Hacker News Interest Graph

Neo4j Spatial Part 2

Connected

The Last Mile