7 Seriously Awesome Neo4j Blogs from 2018
By Jocelyn Hoppa
December 26, 2018|Reading time: 4 minutes
We all know no one really reads these intros to year-end listicles, so we’ll keep it brief and just say this: thank you to you for reading. We are incredibly grateful to everyone who has visited the Neo4j blog in… Read more →
Explore: cypher • Graph Algorithm • Graph Databases • graph technology • microservices • neo4j • Neo4j Community • open data • Russian Twitter trolls • textual data
Casinos on Graphs: 5-Minute Interview with
Joe Stefaniak, CEO of IntelligentTag
By Jocelyn Hoppa
July 27, 2018|Reading time: 4 minutes
“Especially when it comes to the financial sector or gaming, people need answers in real time,” said Joe Stefaniak, CEO of IntelligentTag. From slots and games to guest services to financial systems, casinos are chock full of data sources. Whether… Read more →
Explore: 5-minute interview • ai • APOC • Connected Data • data governance • gaming industry • Graph Algorithm • graph database • machine learning • rdbms
The Story behind Russian Twitter Trolls: How They Got Away with Looking Human – and How to Catch Them in the Future
By Bryce Merkl Sasaki
March 7, 2018|Reading time: 5 minutes
It’s no secret that Russian operatives used Twitter and other social media platforms in attempt to influence the most recent U.S. presidential election cycle with fake news. The question most people aren’t asking is: How did they do it? More… Read more →
Explore: fake news • Graph Algorithm • graph analysis • Mueller indictment • NBC News • PageRank • Russia • Russian troll • social media • U.S. elections
Graph Algorithms: Make Election Data Great Again
By Rachel Howard
August 22, 2017|Reading time: 10 minutes
Editor’s Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and… Read more →
Explore: APOC • betweenness centrality • community detection algorithm • cypher • Graph Algorithm • graphconnect • law of the few • PageRank • python • r
Machine Learning, Graphs and the Fake News Epidemic (Part 2)
By Bryce Merkl Sasaki
August 10, 2017|Reading time: 5 minutes
In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Read more →
Explore: Connected Data • cypher • fake news • Graph Algorithm • graph database • graph technology • machine learning • pattern matching • relational model • sql
Proudly Releasing: Efficient Graph Algorithms in Neo4j
By Bryce Merkl Sasaki
August 3, 2017|Reading time: 2 minutes
I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics… Read more →
Explore: betweenness centrality • breadth-first search • closeness centrality • Connected Data • cypher • DBPedia • Graph Algorithm • Graph Analytics • PageRank • user-defined procedures
Collaborative Filtering: Creating the Best Teams Ever
By Rachel Howard
February 16, 2017|Reading time: 8 minutes
Editor’s Note: This presentation was given by Maurits van der Goes at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Why do we need virtual teams? How to develop a graph recommendation engine How to… Read more →
Explore: collaborative filtering • cosine similarity • cypher • data model • Graph Algorithm • GraphAware • graphconnect • MongoDB • Recommendation Engine • virtual team
The 5-Minute Interview: Daniel Himmelstein, Postdoctoral Fellow at University of Pennsylvania
By Rachel Howard
January 6, 2017|Reading time: 3 minutes
“This is a really advanced graph algorithm and Cypher nailed it,” said Daniel Himmelstein, a Postdoctoral Fellow at the University of Pennsylvania. Before using Neo4j, it took as many as 1,000 lines of code to write the main query for… Read more →
Explore: 5-minute interview • Bioinformatics • biology • bolt • cypher • Graph Algorithm • graphconnect • Neo4j Community • python • r
APOC 1.1.0 Release: Awesome Procedures on Cypher
By Bryce Merkl Sasaki
July 19, 2016|Reading time: 6 minutes
I’m super thrilled to announce last week’s 1.1.0 release of the Awesome Procedures on Cypher (APOC). A lot of new and cool stuff has been added and some issues have been fixed. Thanks to everyone who contributed to the procedure… Read more →
Explore: APOC • Cassandra • cypher • elasticsearch • Graph Algorithm • graph representation • MongoDB • neo4j 3.0 • Panama Papers • rdbms
APOC: An Introduction to User-Defined Procedures and APOC
By Bryce Merkl Sasaki
July 11, 2016|Reading time: 9 minutes
This is the first in a series of blog posts in which I want to introduce you to Neo4j‘s user defined procedures and the APOC procedure library in particular. Besides many other cool things, of the best features of our… Read more →
Explore: APOC • cypher • data transfer objects • database management • Graph Algorithm • Graph Data • neo4j 3.0 • query language • stored procedures • user-defined procedures
Game Discovery: A Recommendation Algorithm for Video Games [Community Post]
By Bryce Merkl Sasaki
May 6, 2016|Reading time: 3 minutes
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Movie recommendation systems usually ask you to rate what you like or dislike so it can… Read more →
Explore: cypher • document database • Game Discovery • Graph Algorithm • graph database • recommendation algorithm • Recommendation Engine • recommendation system • shortest path algorithm • video games
Graph Compute with Neo4j: Built-in Algorithms, Spark & Extensions
By Bryce Merkl Sasaki
March 9, 2016|Reading time: 10 minutes
Editor’s Note: Last October at GraphConnect San Francisco, Ryan Boyd – Developer Relations at Neo Technology – delivered this presentation on how to perform various graph compute functions within the Neo4j ecosystem. For more videos from GraphConnect SF and to… Read more →
Explore: dijkstra algorithm • docker • Graph Algorithm • graph compute • graphconnect • mazerunner • neo4j • OLTP • PageRank • spark
Moving Graphs to Production at Scale
By Bryce Merkl Sasaki
December 17, 2015|Reading time: 21 minutes
Editor’s Note: Last October at GraphConnect San Francisco, Ian Robinson – Senior Engineer at Neo Technology – delivered this in-depth presentation on how to effectively scale your Neo4j-based application for enterprise-level production. For more videos from GraphConnect SF and to… Read more →
Explore: application architecture • Application Development • cluster configuration • embedded neo4j • graph • Graph Algorithm • high availability • iops • jmx • neo4j 2.3
Finding the Shortest Path through the Park (with Graphs!)
By Neo4j Staff
August 19, 2013|Reading time: 6 minutes
As you may know by now, I like beer. A lot. Why else would I keep writing and talking about it? But there’s more to life than sweet beverages, and one of the things that I have been doing for… Read more →
Explore: Antwerp • graph • Graph Algorithm • graph database • graph technology • neo4j • obstacle race • orienteering • shortest path • spreadsheet
The top seven news in Neo4j 1.1
By Neo4j Staff
July 30, 2010|Reading time: 6 minutes
The Neo4j graph database release 1.1 has just arrived, so here’s some information on the new things that have been included. The main points are the additions of monitoring support, an event framework and a new traversal framework to the… Read more →
Explore: Graph Algorithm • graphdb • jmx • Neo4j 1.1 • neo4j.rb • nosql • release • social network
Social Networks in the Database: Using a Graph Database
By Neo4j Staff
September 15, 2009|Reading time: 10 minutes
Recently Lorenzo Alberton gave a talk on Trees In The Database where he showed the most-used approaches to storing trees in a relational database. Now he has moved on to an even more interesting topic with his article Graphs in… Read more →
Explore: collaborative filtering • Graph Algorithm • graph database • linkedin • neo4j • recommendation systems • relational database • social network • sql • transitive closure
Have a Graph Question?
Reach out and connect with the Neo4j staff.
Stack OverflowCommunity Forums
Contact Us
Share your Graph Story?
Email us: content@neo4j.com