Graph Algorithms in Neo4j: Strongly Connected Components
By Jocelyn Hoppa
February 18, 2019|Reading time: 3 minutes
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 →
Keywords: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • Graph Databases • intelligent solutions • Strongly Connected Components
Host an Event (Big or Small) with Us for Global Graph Celebration Day
By Jocelyn Hoppa
February 14, 2019|Reading time: 4 minutes
We’re inviting our global community to join us on April 15, 2019 to celebrate the birth of the inventor of graph theory! On this day, we invite all our Neo4j community members around the globe in help us lead this… Read more →
Keywords: Global Graph Celebration Day • Graph Databases • Graph Theory • Leonard Euler • Neo4j Community • Seven Bridges of Königsberg
Graph Algorithms in Neo4j: Closeness Centrality
By Jocelyn Hoppa
February 11, 2019|Reading time: 4 minutes
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 →
Keywords: centrality algorithms • closeness centrality • cypher • graph algorithms • Graph Analytics • graph database • Graph Search • intelligent solutions • neo4j • shortest paths
#GraphCast: Fake News Edition
By Jocelyn Hoppa
February 10, 2019|Reading time: 2 minutes
Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent… Read more →
Keywords: fake news • graph database • GraphCast • machine learning • NBC News • neo4j • open sourced data • russian trolls • twitter
DeepWalk: 5-Minute Interview with Dr. Steven Skiena
By Jocelyn Hoppa
February 8, 2019|Reading time: 4 minutes
“Graphs have become very powerful, they’re fundamental, and they’re only becoming more and more important,” said Dr. Steven Skiena, Director of the AI Institute at Stony Brook University. Graphs are a fundamental part of computer science, and they are only… Read more →
Keywords: 5-minute interview • data science • DeepWalk • Dr. Steven Skiena • graph algorithms • graph embedding • machine learning • Social Networks • Stony Brook University • word2vec
Leveraging Data Science Tools for Fraud Investigation
By Jocelyn Hoppa
February 6, 2019|Reading time: 13 minutes
Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →
Keywords: Big Data • data science • fraud • Graph Visualizations • graphconnect • machine learning • natural language processing • predictive analytics • private investigator • structured data
Graph Algorithms in Neo4j: Betweenness Centrality
By Jocelyn Hoppa
February 4, 2019|Reading time: 5 minutes
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 →
Keywords: betweenness centrality • centrality algorithms • cypher • Genomics • graph algorithms • Graph Analytics • Graph Search • shortest paths
Agile Open Source Intelligence: 5-Minute Interview with Frederick Kagan
By Jocelyn Hoppa
February 1, 2019|Reading time: 6 minutes
“One thing that a relational database isn’t, is relational ,” said Frederick Kagan, Director of the Critical Threats Project at the American Enterprise Institute. All intelligence organizations are interested in seeing data connections and traversing networks. The Critical Threats Project… Read more →
Keywords: 5-minute interview • cypher • Frederick Kagan • graph technology • Intelligence • intelligence analytical systems • ontologies • python • relational database • sql • unstructured data
Get Control of Today’s Financial Regulations Using the Neo4j Risk Management Platform [Infographic]
By Jocelyn Hoppa
January 31, 2019|Reading time: 1 minute
Financial regulations in the U.S. has become a complicated and fragmented system, but why? Various authorities creating compliance laws include a cast of six federal regulating agencies: The Federal Reserve, Office of the Comptroller of the Currency, the National Credit… Read more →
Keywords: financial regulations • Graph Analytics • graph database • graph technology • neo4j • risk compliance • risk management • risk management platform • risk reporting • siloed data
Large-Scale Real-Time Recommendations with Neo4j
By Jocelyn Hoppa
January 30, 2019|Reading time: 7 minutes
Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →
Keywords: cypher • dynamic queue • engagement platform • event recommendations • graphconnect • MySQL • native graph database • real-time recommendations • relational database
Graph Algorithms in Neo4j: Degree Centrality
By Jocelyn Hoppa
January 28, 2019|Reading time: 3 minutes
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 →
Keywords: centrality algorithms • cypher • Degree Centrality • graph algorithms • Graph Analytics • graph database • Graph Search • PageRank • pathfinding • social network
Tackling Hard Problems Head-On: 5-Minute Interview with Hilary Mason, General Manager for Machine Learning at Cloudera
By Jocelyn Hoppa
January 25, 2019|Reading time: 4 minutes
“Bad ideas are the gateway to the best ideas,” said Hilary Mason, General Manager for Machine Learning at Cloudera. Problems that look impossible intrigue Mason, the founder of Fast Forward Labs (now Cloudera Fast Forward Labs). If clients only bring… Read more →
Keywords: 5-minute interview • ai • artificial intelligence • Cloudera • data science • graph technology • Hilary Mason • machine learning • machine learning analysis • neo4j
Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 2019|Reading time: 4 minutes
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 →
Keywords: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
Apache Spark + Cypher: We Need Your Feedback & Votes
By Bryce Merkl Sasaki
January 18, 2019|Reading time: 2 minutes
Editor’s Note: Alastair Green (Neo4j Query Languages Lead) and Martin Junghanns (Neo4j Cypher for Apache Spark project) will be speaking at the Spark + AI Summit in San Francisco this April. Want to Extend the Graph Capabilities of Spark? Let’s… Read more →
Keywords: apache spark • cypher • Cypher for Apache Spark • Databricks • GQL • graph algorithms • graph query language • GraphFrames • spark • Spark + AI Summit
Graph Algorithms in Neo4j: Minimum Weight Spanning Tree
By Jocelyn Hoppa
January 14, 2019|Reading time: 4 minutes
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 →
Keywords: cypher • graph algorithms • Graph Analytics • graph database • Graph Search • Minimum Weight Spanning Tree • neo4j • pathfinding • telecom
This Week in Neo4j – Graph Layouts with Graph Algorithms and Machine Learning, Graphing the Floodlight Open Project data, Multi-Turn Conversational Voice Experiences with a Knowledge Graph
By Mark Needham
January 12, 2019|Reading time: 4 minutes
We’re almost half-way through January, so it must be time for another installment of This Week in Neo4j. It’s been a busy week as the community kicks back into action after the New Year’s hangover. Jennifer Reif is back with… Read more →
Keywords: amazon alexa • dimensionality reduction • graph algorithms • graph layout • Halin • Knowledge Graph • machine learning • Marvel Universe • monitoring • twin4j
Mastering Highly Distributed Architecture
By Jocelyn Hoppa
January 9, 2019|Reading time: 12 minutes
Editor’s Note: This presentation was given by Thomas Lawrence at GraphConnect New York in October 2017. Presentation Summary Amadeus is one of the largest software companies in the world. The following post explores how the company built their YAC visualizer,… Read more →
Keywords: amadeus • data architecture • data cartography • GDPR • GDPR Compliance • graph database • graph visualization • graphconnect • Keylines • neo4j
Graph Algorithms in Neo4j: All Pairs Shortest Path
By Jocelyn Hoppa
January 7, 2019|Reading time: 3 minutes
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 →
Keywords: All Pairs Shortest Path • call routing • cypher • disease spread • graph algorithms • Graph Analytics • Graph Search • neo4j • network failure • pathfinding
This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs
By Mark Needham
January 5, 2019|Reading time: 3 minutes
Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →
Keywords: anti-money laundering • DeepMind • github • GraphQL • machine learning • Neo4j Community • real-time recommendations • twin4j
Moving From the Static Grid to the Virtualized Graph Database
By Jocelyn Hoppa
January 3, 2019|Reading time: 14 minutes
Editor’s Note: This presentation was given by Aaron Wallace and Andrew Chumney at GraphConnect New York City in 2017. Presentation Summary The adoption of the European Union’s GDPR regulation in May of 2018 has forever changed the way enterprises have… Read more →
Keywords: enterprise metadata • GDPR • GDPR Compliance • graph database • graphconnect • Master Data Management • metadata model • natural language processing • Pitney Bowes • single customer view
The Top 10 Neo4j Videos of 2018
By Jocelyn Hoppa
December 28, 2018|Reading time: 3 minutes
Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →
Keywords: Bloom • cypher • enterprise AI • GRANDstack • Graph Databases • graph visualization • Hilary Mason • knowledge graphs • machine learning • neo4j
7 Seriously Awesome Neo4j Blogs from 2018
By Jocelyn Hoppa
December 26, 2018|Reading time: 4 minutes
We all know no one really reads these intros to year-end listicles, so we’ll keep it brief and just say this: thank you to you for reading. We are incredibly grateful to everyone who has visited the Neo4j blog in… Read more →
Keywords: cypher • Graph Algorithm • Graph Databases • graph technology • microservices • neo4j • Neo4j Community • open data • Russian Twitter trolls • textual data
Announcing the Neo4j GraphTour in 8+ Cities Worldwide
By Bryce Merkl Sasaki
December 19, 2018|Reading time: 3 minutes
Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →
Keywords: Connected Data • cypher • data integration • Graph Analytics • graph database • graph technology • graphconnect • GraphTour • neo4j • Neo4j Community
Graph Algorithms in Neo4j: Single Source Shortest Path
By Jocelyn Hoppa
December 17, 2018|Reading time: 3 minutes
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 →
Keywords: cypher • Dijkstra's algorithm • graph algorithms • Graph Analytics • Graph Search • Open Shortest Path First • pathfinding • shortest path • Single Source Shortest Path • telecom
This Week in Neo4j – Crime Investigation Sandbox, GraphQL to Cypher transpiler for the JVM, Exploring Yelp with Graph Algorithms
By Mark Needham
December 15, 2018|Reading time: 4 minutes
Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week Will and I previewed the Applied Graph Algorithms training, Joe Depeau launched the Crime Investigation… Read more →
Keywords: cypher • GRANDstack • graph algorithms • graph modeling • GraphQL • jaccard • Neo4j Community • POLE • stackoverflow • twin4j
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