The Top 10 Neo4j Podcasts of 2018
By Bryce Merkl Sasaki
December 27, 2018 4 mins read
Since March 2015, Neo4j VP Rik Van Bruggen has been hosting the Graphistania podcast, covering the wonderful world of graph database technology and interviewing some of the most interesting graph thinkers and developers from across the globe. If you’re new… Read more →
Keywords: data science • emil eifrem • Graphistania • Kettle • natural language processing • Neo4j Community • real-time recommendation engine • social network analysis • spring data neo4j • telecom
Fraud Detection Using Graph Technology
By Jocelyn Hoppa
November 16, 2018 4 mins read
Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →
Keywords: Connected Data • data analysis • data modeling • fraud detection • graph algorithms • graph database • graph technology • machine learning • money laundering • social media networks
How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]
By Jocelyn Hoppa
November 8, 2018 2 mins read
“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 →
Keywords: business rules • collaborative filtering • financial services • government services • graph platform • graph technology • Healthcare • knowledge-based filtering • neo4j • real-time recommendations
Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics
By Jocelyn Hoppa
November 5, 2018 5 mins read
Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →
Keywords: ai • customer 360 • eBay • fraud detection • graph algorithms • Graph Analytics • identity and access management • Network Monitoring • real-time recommendations • Social Networks
Graph Databases for Beginners: Graph Theory & Predictive Modeling
By Joy Chao
September 5, 2018 10 mins read
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 →
Keywords: graph database • Graph Theory • local bridge • Network Science • predictive analysis • predictive modeling • Social Graph • social science • structural balance • triadic closure
Powering Recommendations with a Graph Database: Connect Buyer and Product Data
By Jocelyn Hoppa
August 20, 2018 4 mins read
Effective recommendations increase revenue and drive up average order value. But delivering highly relevant, real-time recommendations requires as much context as possible. Connecting the user to the perfect recommendation is an art. In this three-part series, we explore using recommendations… Read more →
Keywords: customer relationship management • graph database • graph technology • nosql • personalized promotions • product recommendations • rdbms • real-time recommendations • Recommendations • relational database
Graph Databases for Beginners: Data Modeling Pitfalls to Avoid
By Bryce Merkl Sasaki
July 31, 2018 7 mins read
With the advent of graph database technology, data modeling has become accessible to masses. Mapping business needs into a well-defined structure for data storage and organization has made a sortie du temple (of sorts) from the realm of the well-educated… Read more →
Keywords: Connected Data • cybersecurity • data model • data modeling • fraud detection • graph data model • graph data modeling • graph database • graph model • graph technology
Knowledge Graphs: The Path to Enterprise AI
By Jocelyn Hoppa
July 11, 2018 28 mins read
Editor’s Note: This presentation was given by Michael Moore and Omar Azhar at GraphConnect New York in October 2017. Presentation Summary Once your data is connected in a graph, it’s easy to leverage it as a knowledge graph. To create… Read more →
Keywords: Connected Data • data mobilization • enterprise AI • enterprise search • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine
Visualizing Healthy Lifestyles: 5-Minute Interview with Alicia Powers, SVP at NYCEDC
By Jocelyn Hoppa
June 22, 2018 4 mins read
“The future of graph technology is already here. It’s everywhere, because we can model anything in a way that’s more close to how it is in real life,” said Alicia Powers, Senior Vice President at New York City Economic Development… Read more →
Keywords: 5-minute interview • Data Visualization • graph community • Graph Databases • graph technology • graphconnect • neural networks • Recommendation Engine • Social Networks • sql
Graph Algorithms in Neo4j:
15 Different Graph Algorithms & What They Do
By Bryce Merkl Sasaki
April 23, 2018 9 mins read
Graph analytics have value only if you have the skills to use them and if they can quickly provide the insights you need. Therefore, the best graph algorithms are easy to use, fast to execute and produce powerful results. Neo4j… Read more →
Keywords: betweenness centrality • breadth-first search • clustering algorithms • depth-first search • graph algorithms • Graph Analytics • machine learning • Network Science • PageRank • union-find
Neo4j as a Critical Aspect of Human Capital Management (HCM)
By Bryce Merkl Sasaki
April 11, 2018 22 mins read
Editor’s Note: This presentation was given by Luanne Misquitta at GraphConnect Europe in May 2017. Presentation Summary In this presentation, Luanne Misquitta shares her facility for engaging with the challenges of human capital management (HCM) in contemporary organizations using graph… Read more →
Keywords: cypher • HCM • human capital management • learning management • organizational network analysis • people analytics • people management • sentiment analysis • social network • talent management analytics
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 6 mins read
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 →
Keywords: fake news • Graph Algorithm • graph analysis • Mueller indictment • NBC News • PageRank • Russia • Russian troll • social media • U.S. elections
Neo4j: A Reasonable RDF Graph Database & Reasoning Engine [Community Post]
By Bryce Merkl Sasaki
February 27, 2018 7 mins read
[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 →
Keywords: Graph Analytics • labeled property graph • owl • OWL 2 RL • RDF • RDF Schema • reasoning engine • resource description framework • sparql • Triple Store
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]
By Bryce Merkl Sasaki
February 22, 2018 7 mins read
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 →
Keywords: computational biology • computational social science • Connected Data • deep learning • ICON dataset • link prediction • machine learning • Netflix Prize • Network Science • Network Visualization
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]
By Bryce Merkl Sasaki
February 13, 2018 9 mins read
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 →
Keywords: complex systems • cybersecurity • data science • economics • genetics • graph algorithms • ICON dataset • machine learning • Network Science • social network
The ICIJ Releases Neo4j Desktop Download of Paradise Papers
By Ryan Boyd, Developer Relations
December 1, 2017 2 mins read
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 →
Keywords: cypher • data journalism • graph algorithms • graph database • graph technology • icij • Neo4j Browser • Neo4j Desktop • PageRank • paradise papers
Analyzing the Paradise Papers with Neo4j: A Closer Look at Queries, Data Models & More
By Bryce Merkl Sasaki
November 13, 2017 7 mins read
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 →
Keywords: Connected Data • cypher • Duchy of Lancaster • graph algorithms • graph visualization • icij • neo4j • Panama Papers • paradise papers • Wilbur Ross
Neo4j: The Power behind the Paradise Papers
By Bryce Merkl Sasaki
November 10, 2017 4 mins read
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 →
Keywords: Connected Data • Graph Databases • graph technology • graph visualization • icij • international consortium of investigative journalists • neo4j • Panama Papers • paradise papers • Pulitzer Prize
Going Meta: Exploring the Neo4j Graph Database…as a Graph
By Bryce Merkl Sasaki
November 7, 2017 6 mins read
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 →
Keywords: Angular • cypher • GitHub API • graph data model • graph database • graph visualization • GraphQL • Keylines • Neo4j Browser • social network analysis
Analyzing Twitter Hashtag Impact using Neo4j, Python & JavaScript
By Bryce Merkl Sasaki
October 13, 2017 3 mins read
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 →
Keywords: bolt • data import • data model • graph algorithms • graph visualization • ibm power systems • javascript • machine learning • python • twitter
Graph Algorithms: Make Election Data Great Again
By Rachel Howard
August 22, 2017 12 mins read
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 →
Keywords: APOC • betweenness centrality • community detection algorithm • cypher • Graph Algorithm • graphconnect • law of the few • PageRank • python • r
The Top 13 Resources for Understanding Graph Theory & Algorithms
By Bryce Merkl Sasaki
August 16, 2017 6 mins read
Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to make full use of compute resources. As part… Read more →
Keywords: Euler • graph algorithms • graph database • graph technology • Graph Theory • neo4j • Network Science • network theory • social media • social network analysis
Machine Learning, Graphs and the Fake News Epidemic (Part 2)
By Bryce Merkl Sasaki
August 10, 2017 5 mins read
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 →
Keywords: Connected Data • cypher • fake news • Graph Algorithm • graph database • graph technology • machine learning • pattern matching • relational model • sql
Neo4j Sandbox Now Supports Neo4j 3.2, Sharing, Google Spreadsheets & More!
By Bryce Merkl Sasaki
July 28, 2017 4 mins read
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 →
Keywords: APOC • Google Spreadsheets • Load CSV • Neo4j Browser • Neo4j sandbox • neo4j training • Panama Papers • TrumpWorld • twitter
Graph Technology for Enterprise Master Data Management (MDM)
By Rachel Howard
July 14, 2017 9 mins read
Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →
Keywords: customer information management • data quality • fraud detection • graphconnect • Knowledge Graph • Master Data Management • MDM • metadata management • Pitney Bowes • single customer view