Graph Algorithms in Neo4j: Label Propagation
By Jocelyn Hoppa
March 4, 2019 4 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: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • graph database • Knowledge Graph • label propagation • large-scale networks • neo4j
Graph Algorithms in Neo4j: How Connections Drive Discoveries
By Bryce Merkl Sasaki
April 9, 2018 3 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
