Native vs. Non-Native Graph Database

Discover the critical differences between native vs. non-native graph databases and why the distinctions matter for database performance.

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Developers.Zed: The LinkedIn for Developers in Zambia

We had the pleasure of speaking with Kacha Mukabe, who is a grand winner of the 2021 Leonhard Euler Idea Contest for his innovative project using Neo4j graphs at Developers.Zed.

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Introducing Graph Databases For Dummies

Check out some main highlights from Chapter 1 of the newly release Graph Databases For Dummies, Neo4j Special Edition.

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This Week in Neo4j – Neo4j 4.1 Released, Modeling Patient Journeys, Developing Instagram Clone

Check out this week’s TWIN4J blog round of the past week’s happenings in the world of graph technology and Neo4j, including modeling patient journeys.

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Lean Graph Data Models Drive Fast Innovation: A Fireside Chat with David Fox, Senior Software Engineer at Adobe

Check out this fireside chat with David Fox of Adobe, who discusses how Adobe’s Behance social media platform works with Neo4j.

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Discovering Hidden Skills with an Enterprise Knowledge Graph

Learn how the Professional Services Team at Neo4j built an enterprise knowledge graph, and used it to discover skills within the Neo4j organization.

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Sharding the LDBC Social Network

Explore the use of Fabric to achieve horizontal scaling, i.e. sharding, of the well-known and challenging LDBC Social Network Benchmark graph.

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The Top 5 Neo4j Podcasts of 2019

Catch up with all of the best episodes from the Neo4j Graphistania podcast during 2019, including episodes with the rebooted format and new co-host.

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Streaming Graphs: Combining Kafka and Neo4j

If you’re looking for the basics on how to turn streams into graphs with Neo4j and the Neo4j-Streams plugin, you’ve come to the right place.

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GraphConnect 2020: Call for Papers Closing November 15

Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.

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Connecting the Complexity of Identity and Access Management

Learn how speed makes graph-based IAM particularly applicable for applications with large audiences, many resources and complex connections.

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#GraphCast: The Laundromat [Panama Papers Movie]

Check out this week’s #GraphCast, featuring a trailer of “The Laundromat” (starring Meryl Streep), a movie about the Panama Papers investigation powered by Neo4j.

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This Week in Neo4j – 4.0 Milestone Testing, Highschool Popularity Algorithms, Minecraft Crafting Tree, Cancer Graph and Social Network Pagination

Check out this TWIN4j for the latest happenings in Neo4j this week, such as the Enterprise Edition 4.0 Milestone testing and more.

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Toward AI Standards: Graph Technology as a Fabric for Context

Read this second blog in a series dedicated towards setting a standard for AI, and why graph technology weaves connections to create much-needed context.

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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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#GraphCast: How Graphs Are Used around the Globe

Check out this week’s #GraphCast, featuring graph technology users from around the world talking about how they use Neo4j to solve connected data problems.

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Applying Graphs to Enterprise Media Asset Management

Editor’s Note: This presentation was given by Brant Boehmann and Chris Goodacre at GraphConnect New York in October 2017. Presentation Summary Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for… Read more →

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Graph Algorithms in Neo4j: Triangle Count & Clustering Coefficient

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 →

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#GraphCast: Graph Analytics For The Throne [GoT]

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, I pointed out that we have an incredible Neo4j Online Meetup and that you’re a square if… Read more →

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Graph Algorithms in Neo4j: Louvain Modularity

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 →

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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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Graph Algorithms in Neo4j: Closeness Centrality

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 →

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#GraphCast: Fake News Edition

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent… Read more →

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Graph Algorithms in Neo4j: Degree Centrality

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 →

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Social Power, Operational Ease: 5-Minute Interview with David Fox, Software Engineer at Adobe

“We were able to go from 48 Cassandra instances to three Neo4j instances. Going into the project, we weren’t sure whether that was going to be possible,” said David Fox, Software Engineer at Adobe. Adobe runs Behance, a social network… Read more →

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