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: 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
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: 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
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
Have a Graph Question?
Reach out and connect with Neo4j.
Community ForumsContact Us
Share your Graph Story?
Email us: content@neo4j.com