GraphNews

LinkedIn is walking through a massive people graph — but smartly.

BigQuery Graph Series | Part 3: Query and Visualize your Graph Welcome to Part 3 of our series! In Part 2, we built a BigQuery Graph from unstructured data. Now, it’s time to query and visualize …

BigQuery Graph Series | Part 2: (Tutorial) Build a BigQuery Graph from unstructured data In Part 1, we explored how to unlock unstructured “dark data” by using a Hybrid AI approach — pairing …

The other day I found Alan Pike’s blog post from a few years ago which describes his iterative process for determining the order cities should be closed in the game Two Spies. Ultimately, finding a formal solution to city closing wasn’t necessary for the game, but it’s worth giving it a shot anyways since pruning by hand isn’t always convenient.

Do LeBron James and I have a lot of friends in common? Instagram might tell you that we do. After all, many of the people who follow me on Instagram also follow LeBron. So logically, someone who follows Lebron might… Read more →

If you can navigate the complex social dynamics of a high school cafeteria, then you can understand how Louvain works. Imagine it’s your first day at a new high school. You’re walking through the cafeteria, trying to get the lay… Read more →

The Untapped Value of Dark Data

🔎 Finding Fraud Rings in a Sea of Transactions: A Graph Data Science Approach

By Oleksii Tkachuk, Kartik Sathyanarayanan, Rajiv Shringi

Authors: Luis Medina and Ajit Koti

Authors: Adrian Taruc and James Dalton

Geospatial data analysis systems are currently very relevant. Most such systems use either relational databases or graph databases. This paper presents the idea of using both approaches, taking into account the main features and advantages of each. A concrete example of a city transport network is used to experimentally examine the use of this hybrid approach. A special ETL procedure was developed to transform data from the corresponding graph database to a relational one, as well as the reverse process from the relational to the graph database. The results show which type of queries are better suited for relational databases, and which for graph databases. Additionally, for certain specific queries and applications, neither database type is capable of providing any results. Although this kind of hybrid architecture has issues with data duplication, the performance gains achieved are significant, making this approach highly efficient.

Why copying data for graph analytics doesn’t scale, and what you can do instead

Discover how 2025 marked Neo4j's evolution from a graph database and analytics leader into the world’s premier graph intelligence platform.

The single most undervalued fact of linear algebra: matrices are graphs, and graphs are matrices

[I’m thrilled to announce that the source code for neo4j-gspatial is finally open-source!

Learn what graph technology experts and practitioners believe the year ahead has in store for the world of connected data – from AI to hypergraphs and more.

We've released `kglab` version 1.x, which is long overdue -- this should have been positioned as a full release years ago!

Or: how trying to “say something” about paths led to a recursive data structure that subsumes graphs entirely*

Inside every legal document is a hidden lattice of implied relationships, rules, and formally defined terms and entities.

🎓Want to learn Gephi? Don’t think twice! I’m sharing five helpful learning resources ! 1.-Gephi Quick Start https://lnkd.in/gD6fPEJK 2.- Visualizing networks (Gephi) by Dr. Mathieu Jacomy https://lnkd.in/gwG_EtSb 3.-GEPHI – Introduction to Network Analysis and Visualization by Dr. Martin Grandjean https://lnkd.in/geeCDG4P 4.-Documentation for Gephi: core functions and plugins by Dr. Clément Levallois https://lnkd.in/gw6RPsrN 5.-Gephi Tutorials: Learning Resources for Everyone by Dr. Verónica Espinoza https://lnkd.in/gDq5XX-e _________ #Gephi #NetworkAnalysis #DataVisualization #NetworkVisualization #GraphTheory #DigitalMethods #ComputationalSocialScience #DataScience #OpenSourceTools #ResearchTools #SocialMedia #VisualAnalytics #ComplexNetworks #AcademicResearch

#GraphLandscape2026 We’re starting the year with a fresh view of the graph landscape! After sharing our first version of the Graph Landscape 2026 back in November, we received great feedback from the community. Based on your input, we’ve decided to make additions, refinements, and adjustments — and created a brand new edition in PDF. This report reflects: 👉 emerging trends across the graph ecosystem 👉 evolving technologies and use cases 👉 new and maturing players shaping the market Happy reading! #Technology #GraphAnalytics #KnowledgeGraphs

Combining IT Infrastructure, Service, and Security Operations Data for Real Insights

Onager: A DuckDB extension for graph data analytics

Here is a really nice NotebookLM deck that explains how my Open Source HTML Graph service works

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms.