Improving Patient Outcomes with Graph Algorithms
By Allison Wu
June 24, 2020 15 mins read
Learn about how AstraZeneca visualized patient journeys, answered important questions about prescriptions and diagnoses, and improved patient outcomes.
Explore: betweenness algorithm • centrality algorithms • graph algorithms • graph modeling • graph technology • graphconnect • Healthcare • PageRank • patient journey • patient outcomes
Predictive Analysis from Massive Knowledge Graphs on Neo4j
By Corin Gainey
February 6, 2020 19 mins read
David Bader, GA Institute of Tech, explains how predictive graphs are implemented to detect patterns of linked data as well as anticipate new breakthroughs.
Explore: betweenness centrality • Bioinformatics • communication • Connected Data • Data Visualization • Eigenvector centrality • graph database • graphconnect • Knowledge Graph • PageRank
Faster, Smarter, Better: Optimizations for Neo4j Graph Algorithms
By Jocelyn Hoppa
September 23, 2019 7 mins read
Learn about the recent improvements made to the Neo4j Graph Algorithms library, including improved configuration and usability, as well as feature requests.
Explore: compute memory • Connected Components • cypher • data scientists • graph algorithms • label propagation • louvain • Neo4j Desktop • PageRank
What’s Next for Graphs: Neo4j for Google Cloud
By Bryce Merkl Sasaki
April 9, 2019 4 mins read
It’s official: To a sold-out crowd at Google Cloud Next ’19 today, we’ve formally announced a new strategic partnership with Google Cloud that delivers Neo4j as a fully managed service deeply integrated with the Google Cloud Platform. Now every GCP… Read more →
Explore: DBaaS • GCP • Google Cloud • Google Cloud Next • google cloud platform • graph algorithms • graph database • Kubernetes • Neo4j for Google Cloud • PageRank
Graph Algorithms in Neo4j: Graph Algorithms in Practice
By Jocelyn Hoppa
April 8, 2019 5 mins read
Graph analytics have value only if you have the skills to use them and if they can quickly deliver the insights you need. This blog provides a hands-on example using Neo4j on data from Yelp’s Annual Dataset challenge. Graph algorithms… Read more →
Explore: APOC • cypher • graph algorithms • Graph Analytics • graph model • importing data • neo4j • PageRank • real-time recommendations • yelp
This Week in Neo4j – Link Prediction with Neo4j, Graphs for healthcare search, XRP graph, Querying Neo4j Clusters
By Mark Needham
March 9, 2019 5 mins read
This week was a bumper one for content in the Neo4j community. We go into the world of blockchain with an online meetup on XRP and a blog post showing how to import bitcoin into Neo4j in less than 24… Read more →
Explore: Bitcoin • Causal Clustering • full-text search • graph modeling • link prediction • PageRank • twin4j • XRP
Graph Algorithms in Neo4j: Degree Centrality
By Jocelyn Hoppa
January 28, 2019 3 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: centrality algorithms • cypher • Degree Centrality • graph algorithms • Graph Analytics • graph database • Graph Search • PageRank • pathfinding • social network
Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 2019 5 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
Graph Algorithms in Neo4j: Graph Algorithm Concepts
By Jocelyn Hoppa
November 26, 2018 5 mins read
According to Frost & Sullivan, “Graphs are one of the unifying themes of computer science – an abstract representation that describes the organization of transportation systems, human interactions and telecommunication networks. That so many different structures can be modeled using… Read more →
Explore: breadth-first search • Connected Data • depth-first search • graph algorithms • Graph Analytics • PageRank • traversal
Graph Algorithms in Neo4j: Graph Technology & AI Applications
By Jocelyn Hoppa
November 12, 2018 3 mins read
Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases. This blog series is designed to help you better leverage… Read more →
Explore: ai • artificial intelligence • graph algorithms • Graph Analytics • graph platform • graph technology • Graph Visualizations • Knowledge Graph • machine learning • PageRank
This Week in Neo4j – Weighted PageRank, Backups on Kubernetes, Modeling Financial Risks
By Mark Needham
October 13, 2018 6 mins read
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 work out the best tennis player in the world using weighted PageRank, we… Read more →
Explore: chatbot • decision trees • graph algorithms • graph apps • graphgist • Linkurious • neo4j cloud • PageRank • theatre • twin4j
Meet the 2018 Graphie Award Winners
By Bryce Merkl Sasaki
September 21, 2018 5 mins read
Last night at GraphConnect 2018, we announced the 11 winners of the 2018 Neo4j Graphie Awards at the conference’s closing reception. The Graphie Awards celebrate the world’s most innovative graph technology applications, recognizing success in connected data across multiple categories… Read more →
Explore: artificial intelligence • Connected Data • digital transformation • Graph Analytics • graph platform • graph technology • graphconnect • machine learning • medical research • PageRank
The ROI on Connected Data:
The Overlooked Value of Context for Business Insights [+ Airbnb Case Study]
By Bryce Merkl Sasaki
June 11, 2018 4 mins read
Your data is inherently valuable, but until you connect it, that value is largely hidden. Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver. In this series, we’ll examine how investments… Read more →
Explore: Airbnb • Apache Hive • Connected Data • data discovery • data model • digital transformation • elasticsearch • master data • PageRank • python
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 →
Explore: betweenness centrality • breadth-first search • clustering algorithms • depth-first search • graph algorithms • Graph Analytics • machine learning • Network Science • PageRank • union-find
Graph Algorithms in Neo4j: Streamline Data Discoveries with Graph Analytics
By Bryce Merkl Sasaki
April 16, 2018 4 mins read
To analyze the billions of relationships in your connected data, you need efficiency and high performance, as well as powerful analytical tools that address a wide variety of graph problems. Fortunately, graph algorithms are up to the challenge. In this… Read more →
Explore: apache spark • APOC • breadth-first search • community detection • Connected Data • depth-first search • graph algorithms • Graph Analytics • GraphX • PageRank
Graph Algorithms in Neo4j: How Connections Drive Discoveries
By Bryce Merkl Sasaki
April 9, 2018 4 mins read
Graph algorithms are the powerhouse behind the analysis of real-world networks — from identifying fraud rings and optimizing the location of public services to evaluating the strength of a group and predicting the spread of disease or ideas. In this… Read more →
Explore: ACID • Connected Data • data integrity • Fraud Rings • graph algorithms • graph analysis • Graph Analytics • Graph Theory • label propagation • PageRank
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 →
Explore: fake news • Graph Algorithm • graph analysis • Mueller indictment • NBC News • PageRank • Russia • Russian troll • social media • U.S. elections
This Week in Neo4j – Kotlin, Dynamic Decision Trees, Categorical PageRank
By Mark Needham
January 20, 2018 4 mins read
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 categorical PageRank using graph algorithms, more on knowledge graphs, and an interview… Read more →
Explore: bloodhound • categorical PageRank • Game of Thrones • GrapheneDB • Kenny Bastani • Knowledge Graph • PageRank • product catalog • telecoms • twin4j
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 →
Explore: cypher • data journalism • graph algorithms • graph database • graph technology • icij • Neo4j Browser • Neo4j Desktop • PageRank • paradise papers
An In-Depth Graph Analysis of the Paradise Papers
By William_Lyon
November 17, 2017 10 mins read
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 →
Explore: Data Visualization • graph algorithms • graph visualization • icij • javascript • offshore finance • PageRank • Panama Papers • paradise papers • Wilbur Ross
7VORTEX: Systems Thinking Powered by Graph Technology
By Bryce Merkl Sasaki
October 10, 2017 5 mins read
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 →
Explore: biology • Connected Data • graph algorithms • graph technology • graph visualization • GraphAware • graphconnect • natural language processing • nlp • PageRank
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 →
Explore: APOC • betweenness centrality • community detection algorithm • cypher • Graph Algorithm • graphconnect • law of the few • PageRank • python • r
Proudly Releasing: Efficient Graph Algorithms in Neo4j
By Bryce Merkl Sasaki
August 3, 2017 2 mins read
I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics… Read more →
Explore: betweenness centrality • breadth-first search • closeness centrality • Connected Data • cypher • DBPedia • Graph Algorithm • Graph Analytics • PageRank • user-defined procedures
This Week in Neo4j – 8 April 2017
By Mark Needham
April 8, 2017 5 mins read
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 →
Explore: APOC • cypher • D3.js • data science • docker • Gephi • jqassistant • Jupyter • malware analysis • PageRank
The 5-Minute Interview: John Swain, Data Science Product Manager at Right Relevance
By Rachel Howard
February 10, 2017 3 mins read
“When I initially chose Neo4j, it was a startup project. I found it extremely useful and easy to use, and immediately realized it was the way we wanted to develop,” says John Swain, Product Manager for Data Science and Data… Read more →
Explore: 5-minute interview • APOC • betweenness centrality • Brexit • graph algorithms • machine learning • PageRank • RNeo4j • sql • US presidential election