Graph Technology Is in the POLE Position to Help Law Enforcement [Video]

A great graph database use case that is starting to emerge is the use of graph technology as a way to better support the police and other law enforcement officials, which also has applications for other security and investigative use… 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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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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GDPR Compliance: The Challenges and Problems with Personal Data

European Union regulators are dead serious about protecting the privacy of their citizens’ personal data. The General Data Protection Regulations (GDPR) that take effect on 25 May 2018 apply to all EU and foreign organizations handling personal data of EU… 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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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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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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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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Financial Services & Neo4j: Network & IT Infrastructure Monitoring

Discovering, capturing and making sense of complex interdependencies is central to managing IT infrastructure more effectively, and it is also a critical part of running the businesses IT serves. Whether it’s optimizing a network or an application infrastructure, managing change… 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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Fraud Prevention with Neo4j: A 5-Minute Overview

Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Read more →

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From the Neo4j Community: January 2017

The year is off to a great start when to comes to the Neo4j community. If this month is any indication of what’s to come, then we know that 2017 will be a big year for Neo4j projects, drivers and… 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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From the Neo4j Community: October 2016

October was a big month for the Neo4j community – not only was there GraphConnect San Francisco (catch video recordings here), but also the beta launch of Neo4j 3.1. Beyond that, the Neo4j community was doing what it does best… Read more →

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Uncovering Secrets in the Offshore Leaks Database with Tom Sawyer Perspectives (Part 1)

Tom Sawyer Software is a Silver sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. The Offshore Leaks Database Challenge The Panama Papers investigation and resulting Offshore Leaks database present an interesting challenge… Read more →

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From the Neo4j Community: August 2016

The Neo4j community has been busy this summer with a number of great projects, code libraries and a host of great articles on how graphs are everywhere – including everything from the Rio Summer Olympics to examining ISIS support and… Read more →

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My Neo4j Summer Road Trip to the World of Healthcare [Part 4]

Part 4: Create Relationships with FuzzyWuzzy Welcome back to my adventure to the world of healthcare! In the past three blog posts, I have discussed the data model of the healthcare graph, loading XML data into Neo4j and cleaning CSV… Read more →

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The 5-Minute Interview: İrfan Nuri Karaca, Project Manager at Kale Yazılım

For this week’s 5-Minute Interview, I spoke with İrfan Nuri Karaca, Project Manager at Kale Yazılım in Ankara, Turkey. I got to interview İrfan at GraphConnect Europe. Here’s what we talked about: Tell me about the projects you work on… Read more →

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The 5-Minute Interview: Mar Cabra, Editor at the ICIJ

For this week’s 5-Minute Interview, I sat down with Mar Cabra, the Data & Research Unit Editor at the International Consortium of Investigative Journalists (ICIJ). I caught up with Mar at GraphConnect Europe after her standing-room-only keynote: “How the ICIJ… Read more →

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Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]

Fraud rings are big business. First-party bank fraud costs banks (and their customers) over $16 billion each year in the United States, and insurance fraud costs nearly $80 billion annually. And fraud rings organized around ecommerce fraud rack up nearly… Read more →

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How the ICIJ Used Neo4j to Unravel the Panama Papers

Editor’s note: The recently revealed Paradise Papers investigation used Neo4j as a key technology to find connections in leaked data. In this blog post from last year, the ICIJ’s Mar Cabra talks about the similar investigation into the Panama Papers… Read more →

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The 5-Minute Interview: Ian Sinnott, Senior Software Engineer at TruSTAR

For this week’s 5-Minute Interview, I chatted with Ian Sinnott, Senior Software Engineer at TruSTAR Technology in San Francisco. Here’s what we talked about: Q: Talk to me about how you guys use Neo4j at TruSTAR. Ian Sinnott: TruSTAR’s whole… Read more →

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Building a Big Data Architecture for Cyber Attack Graphs

Editor’s Note: Last October at GraphConnect San Francisco, Steven Noel – Cyber Security Researcher at MITRE – delivered this presentation on how graph technology can help prevent and simulate cyber attacks. For more videos from GraphConnect SF and to register… Read more →

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