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: The Power of Graph Analytics
By Jocelyn Hoppa
October 22, 2018|Reading time: 4 minutes
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|Reading time: 5 minutes
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 Algorithms in Neo4j: How Connections Drive Discoveries
By Bryce Merkl Sasaki
April 9, 2018|Reading time: 3 minutes
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
The Story behind Russian Twitter Trolls: How They Got Away with Looking Human – and How to Catch Them in the Future
By Bryce Merkl Sasaki
March 7, 2018|Reading time: 5 minutes
It’s no secret that Russian operatives used Twitter and other social media platforms in attempt to influence the most recent U.S. presidential election cycle with fake news. The question most people aren’t asking is: How did they do it? More… Read more →
Explore: fake news • Graph Algorithm • graph analysis • Mueller indictment • NBC News • PageRank • Russia • Russian troll • social media • U.S. elections
Retail & Neo4j: Customer Experience Personalization
By Bryce Merkl Sasaki
January 8, 2018|Reading time: 5 minutes
To remain viable, today’s retailers must be nimble enough to face their colossal online competition while also addressing another new reality of retail: The customer is now at the center of the value chain. In order to adapt to these… Read more →
Explore: Connected Data • customer experience • customer experience personalization • graph analysis • graph database • graph technology • neo4j • path analytics • Recommendation Engine • Retail
Detecting Fake News with Neo4j & KeyLines
By Bryce Merkl Sasaki
May 9, 2017|Reading time: 6 minutes
Fake news is one of the more troubling trends of 2017. The term is liberally applied to discredit everything, from stories with perceived bias through to ‘alternative facts’ and downright lies. It has a warping effect on public opinion and… Read more →
Explore: Connected Data • cypher • Data Visualization • fake news • fraud • graph analysis • graph model • graph visualization • Keylines • social media
Trekking Boldly into the Future: Going Who Knows Where in the Graph Space
By Bryce Merkl Sasaki
November 25, 2015|Reading time: 16 minutes
Editor’s Note: Last October at GraphConnect San Francisco, Jim Webber – Chief Scientist at Neo Technology – delivered this very sciency closing keynote on the graph database landscape. For more videos from GraphConnect SF and to register for GraphConnect Europe,… Read more →
Explore: graph • graph analysis • graph database • multi-model database • neo4j 2.3 • OLAP • predictive analytics • range queries • spark • triadic closure
Breaking Down Crime Networks with Tom Sawyer Perspectives
By Bryce Merkl Sasaki
October 20, 2015|Reading time: 4 minutes
Editor’s Note: Tom Sawyer Software is a Gold sponsor of GraphConnect San Francisco. Register for GraphConnect to meet the Tom Sawyer team and other sponsors in person. Figure 1. Crime Network Data Visualization showing Offenders, Offenses and their Relationships Figure… Read more →
Explore: crime network • data integration • Data Visualization • federated data • graph analysis • json • RDF • social network analysis • sql • tom sawyer perspectives
KeyLines Geospatial Is Leaving Beta! See the First Demo Here
By Bryce Merkl Sasaki
October 14, 2015|Reading time: 5 minutes
Editor’s Note: Cambridge Intelligence is a Silver sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Corey and other sponsors in person. The Countdown to GraphConnect The wait is nearly over…just 7 days to GraphConnect San Francisco! We are… Read more →
Explore: Geospatial • graph analysis • graph visualization • graphconnect • Keylines • neo4j • PageRank • Social Graph • social network analytics • temporal graph
From the Community: May 2015
By Bryce Merkl Sasaki
June 19, 2015|Reading time: 2 minutes
May was a busy month for the Neo4j community. Not only was there GraphConnect Europe, but graphistas across the globe were busy writing loads of community contributions about Neo4j. Follow us on Twitter to see more posts from our amazing… Read more →
Explore: apache spark • cypher • game economy • graph analysis • graph visualization • graphconnect • GraphConnect Europe • graphdatabases • mapbox • neo4j • Social Graph
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