This Week in Neo4j – NODES 2019 Preview: Modeling, Network analysis of Prisoners of Zenda, Building a Questionnaire with Neo4j
By Mark Needham
September 7, 2019 4 mins read
Hello everybody! I’m back after a few weeks off. Thanks to Jennifer and Will for writing TWIN4j in my absence, I enjoyed reading their take on the week’s graph related news. This week we preview the modeling talks at the… Read more →
Explore: cypher • graph algorithms • Network Science • NODES 2019 • RX • spring data neo4j • twin4j
Graph Algorithms in Neo4j: The Neo4j Graph Algorithms Library
By Jocelyn Hoppa
December 3, 2018 5 mins read
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: The Power of Graph Analytics
By Jocelyn Hoppa
October 22, 2018 5 mins read
According to Gartner, “graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions.” Why did Gartner say this? Because graphs are the best structure for today’s complex and ever changing data, and if… Read more →
Explore: Connected Data • Gartner • graph algorithms • graph analysis • Graph Analytics • graph database • graph models • Graph Theory • neo4j • Network Science
Graph Algorithms in Neo4j: Connected Data & Graph Analysis
By Jocelyn Hoppa
October 15, 2018 5 mins read
Until recently, adopting graph analytics required significant expertise and determination, since tools and integrations were difficult and few knew how to apply graph algorithms to their quandaries and business challenges. It is our goal to help change this. We are… Read more →
Explore: Big Data • big data analysis • Connected Data • data valence • graph algorithms • graph analysis • Graph Analytics • graph database • Network Science • statistical analysis
Graph Databases for Beginners: Graph Theory & Predictive Modeling
By Joy Chao
September 5, 2018 10 mins read
There’s a common one-liner, “I hate math…but I love counting money.” Except for total and complete nerds, a lot of people didn’t like mathematics while growing up. In fact, of all school subjects, it’s the most consistently derided in pop… Read more →
Explore: graph database • Graph Theory • local bridge • Network Science • predictive analysis • predictive modeling • Social Graph • social science • structural balance • triadic closure
Graph Algorithms in Neo4j:
15 Different Graph Algorithms & What They Do
By Bryce Merkl Sasaki
April 23, 2018 9 mins read
Graph analytics have value only if you have the skills to use them and if they can quickly provide the insights you need. Therefore, the best graph algorithms are easy to use, fast to execute and produce powerful results. Neo4j… Read more →
Explore: betweenness centrality • breadth-first search • clustering algorithms • depth-first search • graph algorithms • Graph Analytics • machine learning • Network Science • PageRank • union-find
Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 2]
By Bryce Merkl Sasaki
February 22, 2018 7 mins read
Last week, in part one of my interview with Dr. Aaron Clauset, we reviewed how network science was evolving and how it’s dismantling preconceived notions about networks in general. Clauset also stressed the crucial role of interdisciplinary collaboration when it… Read more →
Explore: computational biology • computational social science • Connected Data • deep learning • ICON dataset • link prediction • machine learning • Netflix Prize • Network Science • Network Visualization
This Week in Neo4j – NBC Russian Twitter Trolls, Spring Boot, GRAND stack
By Mark Needham
February 17, 2018 4 mins read
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have a sandbox to play around with NBC’s Russian Twitter Trolls dataset, modelling… Read more →
Explore: Grand Stack • Neo4j sandbox • Network Science • open Cypher • Python • RNeo4j • russian trolls • spring boot • twin4j
Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 1]
By Bryce Merkl Sasaki
February 13, 2018 9 mins read
I recently had the opportunity to combine work and pleasure and meet with Dr. Aaron Clauset, an expert on network science, data science and complex systems. In 2016, Clauset won the Erdos-Renyi Prize in Network Science but you might be… Read more →
Explore: complex systems • cybersecurity • data science • economics • genetics • graph algorithms • ICON dataset • machine learning • Network Science • social network
The Top 13 Resources for Understanding Graph Theory & Algorithms
By Bryce Merkl Sasaki
August 16, 2017 6 mins read
Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to make full use of compute resources. As part… Read more →
Explore: Euler • graph algorithms • graph database • graph technology • Graph Theory • neo4j • Network Science • network theory • social media • social network analysis