#GraphCast: Graph Analytics For The Throne [GoT]
By Bryce Merkl Sasaki
March 24, 2019|Reading time: 2 minutes
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, I pointed out that we have an incredible Neo4j Online Meetup and that you’re a square if… Read more →
Explore: For The Throne • Game of Thrones • GoT • graph algorithms • Graph Analytics • GraphCast • Neo4j Online Meetup
Announcing Neo4j Labs: Incubating the Next Generation of Graph Developer Tooling
By Jocelyn Hoppa
March 21, 2019|Reading time: 2 minutes
As the Director of the Developer Relations engineering team, I couldn’t be more proud of the things we have achieved over the last few years. Our focus was to build integrations, tools and libraries that extend the Neo4j Graph Platform… Read more →
Explore: APOC library • data integration • Docker integration • GRANDstack • graph algorithms • Graph Analytics • GraphQL • indexing procedures • Neo4j Graph Platform • Neo4j Labs
Graph Algorithms in Neo4j: Louvain Modularity
By Jocelyn Hoppa
March 18, 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 →
Explore: community detection algorithms • cypher • detecting communities • fraud analytics • graph algorithms • Graph Analytics • intelligent solutions • Louvain Modularity • neo4j • Social Networks
Graph Algorithms in Neo4j: Label Propagation
By Jocelyn Hoppa
March 4, 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 →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • graph database • Knowledge Graph • label propagation • large-scale networks • neo4j
Graph Algorithms in Neo4j: Weakly Connected Components
By Jocelyn Hoppa
February 25, 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 →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • intelligent solutions • Master Data Management • union-find • Weakly Connected Components
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 →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • Graph Databases • intelligent solutions • Strongly Connected Components
Apache Spark Developers Have Voted to Include Cypher in Spark 3.0 [Update]
By Bryce Merkl Sasaki
February 15, 2019|Reading time: 4 minutes
The community vote by Apache Spark contributors has just closed – and the results are positive. Thank you to everyone who participated when we asked for your votes and feedback. As part of the preparations for a forthcoming Apache Spark… Read more →
Explore: apache spark • cypher • data integration • data science • graph algorithms • Graph Analytics • graph query language • Oracle • RDF • W3C
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 →
Explore: centrality algorithms • closeness centrality • cypher • graph algorithms • Graph Analytics • graph database • Graph Search • intelligent solutions • neo4j • shortest paths
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 →
Explore: betweenness centrality • centrality algorithms • cypher • Genomics • graph algorithms • Graph Analytics • Graph Search • shortest paths
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 →
Explore: financial regulations • Graph Analytics • graph database • graph technology • neo4j • risk compliance • risk management • risk management platform • risk reporting • siloed data
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 →
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|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 →
Explore: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
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 →
Explore: cypher • graph algorithms • Graph Analytics • graph database • Graph Search • Minimum Weight Spanning Tree • neo4j • pathfinding • telecom
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 →
Explore: All Pairs Shortest Path • call routing • cypher • disease spread • graph algorithms • Graph Analytics • Graph Search • neo4j • network failure • pathfinding
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 →
Explore: 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 →
Explore: cypher • Dijkstra's algorithm • graph algorithms • Graph Analytics • Graph Search • Open Shortest Path First • pathfinding • shortest path • Single Source Shortest Path • telecom
Graph Algorithms in Neo4j: Shortest Path
By Jocelyn Hoppa
December 10, 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 →
Explore: cypher • Dijkstra's algorithm • Google Maps • graph algorithms • Graph Analytics • Graph Search • pathfinding • shortest path • Social Networks • web mapping tools
Graph Algorithms in Neo4j: The Neo4j Graph Algorithms Library
By Jocelyn Hoppa
December 3, 2018|Reading time: 4 minutes
The Neo4j Graph Algorithms Library is used on your connected data to gain new insights more easily within Neo4j. These graph algorithms improve results from your graph data, for example by focusing on particular communities or favoring popular entities. This… Read more →
Explore: Big Data • Connected Data • cypher • data valence • graph algorithms • graph analysis • Graph Analytics • graph database • Network Science • statistical analysis
Graph Algorithms in Neo4j: Graph Algorithm Concepts
By Jocelyn Hoppa
November 26, 2018|Reading time: 4 minutes
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: Neo4j Graph Analytics
By Jocelyn Hoppa
November 19, 2018|Reading time: 3 minutes
At a fundamental level, a native graph platform is required to make it easy to express relationships across many types of data elements. To succeed with connected data applications, you need to traverse these connections at speed, regardless of how… Read more →
Explore: Connected Data • data scientists • graph algorithms • Graph Analytics • graph platform • graph technology • native graph platform • neo4j • pathfinding • solution developers
Graph Algorithms in Neo4j: Graph Technology & AI Applications
By Jocelyn Hoppa
November 12, 2018|Reading time: 3 minutes
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
FOSDEM 2019: Join Us in the Graph Developer Room!
By Michael Hunger, Developer Relations
November 9, 2018|Reading time: 2 minutes
Like every year, the fall conference season is in full swing when we’re already preparing for the next batch of conferences in spring 2019. We’re happy to announce that the graph processing and graph database developer room was accepted again… Read more →
Explore: data science • FOSDEM • Graph Analytics • Graph Databases • graph processing • graph query language • graph visualization • Internet of Things • natural language processing • Neo4j Community
Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics
By Jocelyn Hoppa
November 5, 2018|Reading time: 4 minutes
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 →
Explore: ai • customer 360 • eBay • fraud detection • graph algorithms • Graph Analytics • identity and access management • Network Monitoring • real-time recommendations • Social Networks
Graph Algorithms in Neo4j: The Rise of Graph Analytics
By Jocelyn Hoppa
October 29, 2018|Reading time: 4 minutes
According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →
Explore: ai • Connected Data • eBay • google • graph algorithms • Graph Analytics • graph database • Graph Theory • linkedin • machine learning • Uber
5 Noteworthy Use Cases of Graph Technology and Graph Analytics
By Jocelyn Hoppa
October 23, 2018|Reading time: 4 minutes
When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →
Explore: fraud detection • Graph Analytics • graph database • graph technology • Graph Theory • identity access management • machine learning • regulatory compliance • Relational Databases • supply chain
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