### Transforming the Enterprise: AI at Scale with Neo4j

###### By Jocelyn Hoppa

April 24, 2019|Reading time: 18 minutes

Discover how Ernst and Young takes advantage of graph-driven enterprise AI and machine learning to develop stronger fraud-detection and customer 360 mapping tools.

Explore: AI at scale • customer 360 • enterprise AI • fraud detection • Graph Analytics • graph database • graph learning • graph recommendation engine • graphconnect • machine learning

### Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j

###### By Jocelyn Hoppa

April 15, 2019|Reading time: 3 minutes

Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.

Explore: Connected Data • data scientists • developers • graph algorithms • Graph Analytics • intelligent solutions • machine learning • neo4j • oreilly • predictive analytics • spark

### Graph Algorithms in Neo4j: Graph Algorithms in Practice

###### By Jocelyn Hoppa

April 8, 2019|Reading time: 5 minutes

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

### Graph Algorithms in Neo4j: Triangle Count & Clustering Coefficient

###### By Jocelyn Hoppa

March 25, 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: Clustering Coefficient • community detection algorithms • cypher • global clustering • graph algorithms • Graph Analytics • intelligent solutions • local clustering • Louvain Modularity • Triangle Count

### #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

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

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

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

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

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

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

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

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

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: 4 minutes

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