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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Cypher Philly: Civic Empowerment & Actionable Change Using Data-Driven Storytelling

We (Jason and Jess) are the co-founders of Untitled Folder, LLC, a software development and consulting agency based out of Philadelphia. We help early-stage startups on their journey from an Untitled Folder of ideas to building a scalable Minimal Viable… Read more →

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Your Open Invitation to Publish with the Neo4j Community on Medium

Hello everyone, We, the developer relations team at Neo4j, are always looking for new ways to support the Neo4j developer community. We are starting a Medium publication around Neo4j-related topics to not only share lessons learned as well as tips… Read more →

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Neo4j: A Reasonable RDF Graph Database & Reasoning Engine [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.] It is widely known that Neo4j is able to load and write RDF. Until now, RDF… Read more →

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Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 2]

Last week, in part one of my interview with Dr. Aaron Clauset, we reviewed how network science was evolving and how it’s dismantling preconceived notions about networks in general. Clauset also stressed the crucial role of interdisciplinary collaboration when it… Read more →

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Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 1]

I recently had the opportunity to combine work and pleasure and meet with Dr. Aaron Clauset, an expert on network science, data science and complex systems. In 2016, Clauset won the Erdos-Renyi Prize in Network Science but you might be… Read more →

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The ICIJ Releases Neo4j Desktop Download of Paradise Papers

Early this morning (1 Dec.), the Pulitzer Prize-winning International Consortium for Investigative Journalists (ICIJ) released an ICIJ version of Neo4j Desktop which includes the Paradise Papers and the other Offshore Leaks graph data. This desktop package – available for Windows,… Read more →

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FOSDEM 2018: Join Us in the Graph Developer Room!

We’re happy to announce that the graph processing and graph database developer room will again take place at FOSDEM 2018. Check out all the details here, including information about submissions: http://graphdevroom.org. FOSDEM is an annual conference at the Université Libre… Read more →

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An In-Depth Graph Analysis of the Paradise Papers

Today, the ICIJ has publicly released data from its most recent year-long investigation into the offshore industry, known as the Paradise Papers. In the last few weeks since the ICIJ announced their investigation, we’ve seen many reports being published covering… 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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Cybersecurity & Graph Technology: An Excellent Fit

Cybersecurity We are becoming increasingly dependent on technology. Yet, without diligent attention paid to cybersecurity, technology is vulnerable to unauthorized access, change or even destruction. These vulnerabilities pose threats to our individual and collective safety, security and human and economic… Read more →

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Neo4j Life Sciences & Healthcare Workshop – Proceedings from Berlin

Often invisible to the people outside of the field, life science researchers have been quietly embracing graph databases instead of the traditional triple and relational stores. On June 21, we invited a group of life science and healthcare researchers and… 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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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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Neo4j Sandbox Now Supports Neo4j 3.2, Sharing, Google Spreadsheets & More!

When we announced the new Neo4j Sandbox back in March, we enabled developers to learn Neo4j while exploring data and interactive guides for four use cases: Recommendations Engines, TrumpWorld, US Congress (Legis-Graph) and Twitter analysis. We’ve seen lots of developers… Read more →

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Integrating All of Biology into a Public Neo4j Database

Editor’s Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network… Read more →

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How NASA Finds Critical Data through a Knowledge Graph

Editor’s Note: This presentation was given by David Meza at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a knowledge architecture? What are the benefits of a knowledge architecture? The power 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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Advantages of a Graph-Based Metadata Repository [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.] Many higher education institutions, like the University of Washington (UW), are implementing large, complex, Software-as-a-Service solutions… Read more →

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Neo4j Object Mapping with GORM, Groovy and Spring Boot [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.] Mapping object models to the Neo4j graph in languages such as Java and Groovy may be… 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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This Week in Neo4j – 25th February 2017

Welcome to this week in Neo4j! From now on instead of covering everything that happened in Neo4j at the end of the month in one mega-post we’re going to publish a more focused update once a week. We hope you… Read more →

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Analyzing the BuzzFeed TrumpWorld Dataset with Neo4j

Update: The Google Doc source and structure changed, we updated the import statements and queries on the trumpworld-graph GitHub repository. I came across this tweet by Sanchez Castro which I am more than happy to support. Hey @neo4j please do… Read more →

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