This Week in Neo4j – Hands on with Neo4j Bloom, Building a Personalised Recommender, Popoto Release, Parsing the query log

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we go hands on with Neo4j Bloom, there’s a new release of Popoto –… Read more →

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This Week in Neo4j – 3.4 and Bloom Announced, Analyzing Wifi Traffic, Text Analysis using Graph Visualization, Azure Functions

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have the announcement of Neo4j 3.4 and the Bloom visualization tool, analyzing Wifi… Read more →

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Introducing Neo4j Bloom: Graph Data Visualization for Everyone

Today at GraphTour San Francisco, CEO of Neo4j, Inc. Emil Eifrem announced the arrival of an entirely new product being added to the Neo4j Graph Platform: Neo4j Bloom. Neo4j Bloom is a breakthrough graph communication and data visualization product that… Read more →

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This Week in Neo4j – Pink Programming, Graph Visualization using Neovis.js, Analysing Debian Packages

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have Graph Visualization using Neovis.js, a write up of the Pink Programming event,… Read more →

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Meet SemSpect: A Different Approach to Graph Visualization [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.] Understanding large graphs is challenging. Sure, a proper Cypher query can retrieve valuable information. But how… Read more →

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GDPR Compliance: 4 Simple Steps to Building a GDPR Solution

According to PwC, 92 percent of multinational companies cite compliance with the looming General Data Protection Regulation (GDPR) data privacy regulations as a top data-protection priority. More than three-quarters of those organizations have allocated over a million dollars for related… Read more →

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Graph Gopher: The Neo4j Browser Built on Swift for Your iOS Device [Community Post]

Graph Gopher is a Neo4j browser for iPhone that was recently released to the App Store. Graph Gopher lets you interact natively with your Neo4j graphs through easy browsing and quick entry for new nodes and relationships. It gives you… Read more →

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Retail & Neo4j: Supply Chain Visibility & Management

Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →

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Welcome to the Graph Community, Amazon Neptune!

This post originally appeared on Emil Eifrem’s CEO blog on 1 December 2017. Graph technology has come a long way, and today the transformative nature of graphs is publicly visible through examples such as financial fraud detection in Panama and… 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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Going Meta: Exploring the Neo4j Graph Database…as a Graph

The graph data model is inherently visual. Try explaining a graph to someone new. You’ll inevitably draw a picture, or wave your hands around to convey what you mean by ‘nodes… links…. and more nodes’. People think in graphs, and… Read more →

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Neo4j: From Graph Database to Graph Platform

Today at GraphConnect New York, Neo4j has announced our transformation from the provider of a graph database into the creator of a graph platform. We are making this change to address the evolving needs of customers in their deployment of… Read more →

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Analyzing Twitter Hashtag Impact using Neo4j, Python & JavaScript

This is the first demo I developed with Neo4j. The objective of the demo is to open the discussion about graph databases, Neo4j, big data, analytics and IBM Power Systems with our global customers. I decided to use Twitter as… Read more →

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7VORTEX: Systems Thinking Powered by Graph Technology

The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out… Read more →

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This Week in Neo4j – 26 August 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Karin Wolok This week’s featured community member is Karin Wolok, Community Manager at… Read more →

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This Week in Neo4j – 10 June 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Lorenzo Speranzoni This week’s featured community member is Lorenzo Speranzoni – Founder &… 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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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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Graph Visualization for Neo4j Schemas using yFiles

I have been working with graph visualizations for almost 20 years now, but only recently have I begun looking into graph databases. Shortly after I got introduced to Neo4j, I found that when looking at existing dataset examples I often… Read more →

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Graph-Based Enterprise Architecture Management

Today, enterprise architects are required to deliver insights quickly and make sense of large amounts of enterprise data (business knowledge, application information, technology assets, etc.). In this process, understanding and modeling interdependencies between entities is key. With relationships at the… Read more →

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This Week in Neo4j – 2 April 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. It’s a varied episode this week – we’ve got a worm’s neuronal wiring graph, bitcoin explorers,… Read more →

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This Week in Neo4j – 25 March 2017

Welcome to this week in Neo4j where we collect the most interesting things that have happened in the world of graph databases over the last 7 days. If you’ve got something that you’d like to see featured in a future… Read more →

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The Impact of Graph-Powered Business Leader Social Networks

Editor’s Note: This presentation was given by Tilo Walter at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: How to use graphs to leverage and navigate business leader social networks Combining Kantwert and Neo4j to… Read more →

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