This Week in Neo4j – Why Kettle?, Pokémons in a Graph, Influencers in the Graph Community

Explore everything that’s happening in the Neo4j community for the week of 18 May 2019, including finding influencers using graph algorithms.

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Sentiment and Social Network Analysis

Editor’s Note: This presentation was given by Laura Drummer at GraphConnect New York in November 2017. Presentation Summary Traditional social network analysis is performed on a series of nodes and edges, generally gleaned from metadata about interactions between several actors… Read more →

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The Top 10 Neo4j Podcasts of 2018

Since March 2015, Neo4j VP Rik Van Bruggen has been hosting the Graphistania podcast, covering the wonderful world of graph database technology and interviewing some of the most interesting graph thinkers and developers from across the globe. If you’re new… Read more →

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Going Meta: Exploring the Neo4j Graph Database…as a Graph

The graph data model is inherently visual. Try explaining a graph to someone new. You’ll inevitably draw a picture, or wave your hands around to convey what you mean by ‘nodes… links…. and more nodes’. People think in graphs, and… Read more →

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The Top 13 Resources for Understanding Graph Theory & Algorithms

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 →

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This Week in Neo4j – 18 March 2017

Welcome to This Week in Neo4j. If you’ve got any ideas for things we should cover in future editions, I’m @markhneedham on Twitter or send an email to devrel@neo4j.com. WordPress Recommendation Engine Adam Cowley has been busy over the last… Read more →

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Neo4j + KeyLines: The Developer’s Route out of Dependency Hell [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Most software developers will, at some point, find themselves in dependency hell. It’s a terrible place… Read more →

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Catching Insurance Fraud Using Graph Database Technology

The impact of fraud on the insurance industry is estimated to be $80 billion annually in the US, a number that has been growing in recent years. From 2010 to 2012, questionable claims in the U.S. jumped 27 percent, to… Read more →

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Breaking Down Crime Networks with Tom Sawyer Perspectives

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 →

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