How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →

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Graphs4Good: Connected Data for a Better World

You’re reading this because of a napkin. It was the year 2000, and I was on a flight to Mumbai. Peter, Johan and I had been building an enterprise content management system (ECM) but kept running up against the challenge… Read more →

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Graph Databases for Beginners: Graph Theory & Predictive Modeling

There’s a common one-liner, “I hate math…but I love counting money.” Except for total and complete nerds, a lot of people didn’t like mathematics while growing up. In fact, of all school subjects, it’s the most consistently derided in pop… Read more →

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Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]

Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… Read more →

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The Story behind Russian Twitter Trolls: How They Got Away with Looking Human – and How to Catch Them in the Future

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 →

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Getting Started with Data Analysis using Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Why Are We Doing This? Data analysis is the phenomenon of dissecting, structuring and understanding data.… Read more →

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Analyzing the Paradise Papers with Neo4j: A Closer Look at Queries, Data Models & More

Our friends from the ICIJ (International Consortium of Investigative Journalists) just announced the Paradise Papers this past week, a new trove of leaked documents from the law firm Appleby and trust company Asiaciti. Similar to the Panama Papers before (which… Read more →

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Neo4j: The Power behind the Paradise Papers

Once again, the International Consortium of Investigative Journalists (ICIJ) has shaken the world with a far-reaching, in-depth investigation into the shadowy world of offshore finance: The Paradise Papers. Using Neo4j, the ICIJ has built upon their Pulitzer Prize-winning investigation of… Read more →

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Graph Algorithms: Make Election Data Great Again

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 →

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A Game of Data and GraphQL [Game of Thrones Community Post]

This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data. As season 7 is… Read more →

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Meet the ICIJ’s First-Ever Neo4j Connected Data Fellow

The International Consortium of Investigative Journalists (ICIJ), in partnership with the graph platform company Neo4j, are proud to welcome Manuel Villa as the first-ever Neo4j Connected Data Fellow. The fellowship, announced last May, was inspired by the way graph databases… Read more →

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Machine Learning, Graphs and the Fake News Epidemic (Part 2)

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 →

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Machine Learning, Graphs and the Fake News Epidemic (Part 1)

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Read more →

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Apply Today: The Neo4j Connected Data Fellowship at Pulitzer Prize-winning ICIJ

Neo4j’s CEO, Emil Eifrem, recently blogged about a data journalism fellowship to compliment our Data Journalism Accelerator Program. Yesterday, at the GraphConnect Europe conference, Emil announced additional details on the Fellowship and invited the data journalism community to apply. Neo4j… Read more →

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Detecting Fake News with Neo4j & KeyLines

Fake news is one of the more troubling trends of 2017. The term is liberally applied to discredit everything, from stories with perceived bias through to ‘alternative facts’ and downright lies. It has a warping effect on public opinion and… Read more →

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Join Us for the GraphHack at GraphConnect Europe [2017]

It’s that time of year again for the biggest (and best) graph database hackathon in this or any other parallel universe: The GraphHack. This year’s event takes place at CodeNode London on GraphConnect Eve (10th May 2017). The hackathon will… Read more →

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Data Journalism in the Connected Age [GraphConnect Europe Preview]

Long before the publication of the Panama Papers investigation in April last year – which was mostly recently awarded the Pulitzer Prize, among other accolades – data journalism had had to deal with vast amounts of highly connected information. Traditionally… Read more →

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GraphConnect Europe Agenda: Everything You Need to Know [2017 Edition]

You already have all the reasons you should attend GraphConnect Europe and now you know who the top 10 presenters will be, but now it’s time for the easiest selling point of all: the bottom-to-top agenda of all the keynotes,… Read more →

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This Week in Neo4j – 8 April 2017

Welcome to this week in Neo4j, where we round up what’s been happening in the world of graph database in the last seven days. This week we look at how to create a Twitter clone using Neo4j, the Neo4j data… Read more →

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The 5-Minute Interview: Wouter Crooy, Technical Lead at albumprinter(Albelli)

“Neo4j stood out of the NoSQL movement as having all the advantages of traditional relational databases,” said Wouter Crooy, Technical Lead at albumprinter. While relational databases work well for some use cases, albumprinter relies on a polyglot persistence architecture to… Read more →

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