GraphAware Blog

Find out what's new in the world of mission-critical graph analytics.

Neo4j Events (Jan/Feb 2015)

16 Jan 2015 by Michal Bachman · 1 min read Neo4j Events Beginner

There is no better way to start 2015 than to learn something new. In the wake of two recent major announcements (here and here),Neo4j is as hot as ever, so it might well be the next skill you pick up or improve. Here’s a list of Neo4j events organisedby GraphAware around the world in the next few weeks. We’ll be delighted to see you there!

Using the Neo4j Browser with Embedded Neo4j

21 Nov 2014 by Luanne Misquitta · 1 min read Neo4j Intermediate

There are times when you have an application using Neo4j in embedded mode but also need to play around with the graphusing the Neo4j web browser. Since the database can be accessed from at most one process at a time, trying to start upthe Neo4j server when your embedded Neo4j application is running won’t work. The WrappingNeoServerBootstrapper,although deprecated, comes to the rescue. Here’s how to set it up.

GraphConnect 2014 Talk

20 Nov 2014 by Michal Bachman · 0 min read Neo4j Conference Intermediate

Last month, I had the pleasure of speaking at GraphConnect in San Francisco, introducing the GraphAware Framework to alarge audience of Neo4j users and graph enthusiasts. For those who missed the conference, the recording and slides havenow been made available. Enjoy and get in touch with feedback / questions!

GraphAware Neo4j TimeTree

20 Aug 2014 by Luanne Misquitta, Michal Bachman · 6 min read Neo4j GraphAware Intermediate

Modelling and querying time-based events in a graph is a fairly common discussion topic and a frequently asked questionon Q/A sites. In this blog post, we evaluate some of the common approaches and introduce GraphAware TimeTree, a GraphAware Framework Module that simplifies modelling time and events in Neo4j.

Random Graph Models (Part II)

06 Aug 2014 by Vojtěch Havlíček · 4 min read Neo4j GraphAware Intermediate

In the first part of this short series aboutrandom graph models, we talked about why they are useful and had a brief look at two of them: Erdos-Renyi graphs andBarabasi-Albert model. In this post, we take a look at the “small world” phenomenon and another network model, namelythe Watts-Strogatz model.

Node Degrees in Neo4j 2.1

23 Jul 2014 by Michal Bachman · 3 min read Neo4j GraphAware Beginner

Efficient counting of relationships in Neo4j was the cornerstone of my Master Thesisand the reason the very first GraphAware Frameworkmodule called the Relationship Count Module was born. The improvements in Neo4j 2.1around dense nodes and the addition of getDegree(…) methods on the Node interface made me eager to do some benchmarking around relationship counts again.