This Week in Neo4j: Vectors, Knowledge Graphs, Clustering, Social Networks and more

Check out what’s new this week in Neo4j, including Superhero dataset, Workspace updates, synthetic data, LLM, streaming graph data, and more.

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This Week in Neo4j – Start Your Graph

Check out what’s new this week in Neo4j, including social recommendations with Slack data and virtual voice assistant for healthcare.

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This Week in Neo4j – NODES Workshops, Data Lineage, Knowledge Graphs, Spatial Data, and Creating a Social Network

Happy September! We have a lot in store this week for Twin4j. First, we would like to remind you of the upcoming, live re-runs of the NODES 2021 workshops, scheduled for the week of September 13, 2021. All workshops are… Read more →

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Graphs for Artificial Intelligence and Machine Learning

Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.

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Knowledge Graphs & Navigating the Future of AI: An Interview with Charlie Beveridge of Accenture

Check out this interview with Charlie Beveridge from Accenture on navigating the future of artificial intelligence with knowledge graphs.

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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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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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Neo4j as a Critical Aspect of Human Capital Management (HCM)

Editor’s Note: This presentation was given by Luanne Misquitta at GraphConnect Europe in May 2017. Presentation Summary In this presentation, Luanne Misquitta shares her facility for engaging with the challenges of human capital management (HCM) in contemporary organizations using graph… Read more →

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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]

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 →

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The Impact of Graph-Powered Business Leader Social Networks

Editor’s Note: This presentation was given by Tilo Walter at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: How to use graphs to leverage and navigate business leader social networks Combining Kantwert and Neo4j to… Read more →

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The 5-Minute Interview: Cindee Madison, Data Engineer at Gallium Artistic Services

“Using artificial intelligence, we’re creating what you could call a social network of the mind,” says Cindee Madison, Data Engineer at Gallium Artistic Services. With tools such as IBM Watson — which provides the technology that allows robots to check… Read more →

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The 5-Minute Interview: Mark Joslin, CTO of Maslow

For this week’s 5-Minute Interview, I sat down with Mark Joslin, the CTO at Maslow. Mark is also the organizer of the New York City Neo4j Meetup group. Q: Tell me about your Neo4j project. Mark Joslin: We actually have… Read more →

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From the Neo4j Community: January 2016

The Neo4j community kicked off 2016 with a bang: This month has more blog posts, videos, presentations and GraphGists than ANY other month previous. With so much great content to dive into this month, we know that 2016 will be… Read more →

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How Gamesys Harnessed Neo4j for Competitive Advantage

Gamesys is the largest cash and social gaming operator in UK and Europe, created the world’s first cash gaming application on Facebook. With games like Jackpotjoy, Instant Slots and Here Be Monsters, the company features online bingo, slots and casino… Read more →

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The Future of Recommendation Engines: Graph-Aided Search

Editor’s Note: GraphAware is a Silver sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Michal and other sponsors in person. For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people… Read more →

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GraphConnect Europe: Superpowers for Recruitment

Great Recruitement, Great People, Great Projects. This is why we go to work. How can we help the recruitment industry find us the right job, and what can social network analysis tell us about how to build great teams and… Read more →

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Why Graph Databases Are Best for Handling Connected Data like in Diaspora

Handling Connected Domains with the “Right Tool for the Job” Sarah Mei recently wrote a great blog post describing the problems she and her colleagues ran into when managing highly connected data using document databases. Document databases (like other aggregate… Read more →

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Exploring LinkedIn in Neo4j

Exploring LinkedIn in Neo4j Ever since I have been working for Neo, we have been trying to give our audience as many powerful examples of places where graph databases could really shine. And one of the obvious places has always… Read more →

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The top seven news in Neo4j 1.1

The Neo4j graph database release 1.1 has just arrived, so here’s some information on the new things that have been included. The main points are the additions of monitoring support, an event framework and a new traversal framework to the… Read more →

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