The blog

Elise Devaux

Marketing Project Manager

Elise works with Linkurious' team and partners to cover the emerging graph technology use cases. Previously she worked in the humanoid robotics industry on marketing projects and with third party developers. She has a degree in digital media and communication strategies from Paris-Sorbonne University.

elise

Publications of the author

Linkurious Enterprise v1.6: Revamped documentation, and group mapping.

The new major release of our graph visualization software Linkurious Enterprise is now available! The release is named Yummy Yak. Linkurious Enterprise v1.6 comes with a significantly improved and optimized documentation . It also provides users with the ability to do group mapping from external authentication systems.

Visualize your Oracle graph database with Ogma

Ogma is a JavaScript library for large-scale graph visualization and analysis. It integrates directly with Oracle graph database, Oracle Big Data Spatial and Graph (BDSG) to help Oracle customers build applications to visualize their graph data.

Visualizing the political network of Donald Trump

On January 15, BuzzFeed released a large dataset of Donald Trump’s connections, including people, organizations and the nature of their relationships. In this post, we showcase Donald Trump political network visualization based on that dataset.

Reinforcing AML analysis systems with graph technologies

Fighting financial crime is a daily battle worldwide. Organizations must deploy intelligent systems to prevent and detect wrongdoings, such as anti-money laundering (AML) control frameworks. We’ll see in this blog post how graph technologies can reinforce these systems. Using graph technologies to fight financial crime In today’s complex economy, law enforcement and financial organizations fight against a […]

Using graphs visualization for network intelligence analysis

The identification and monitoring of terrorist or criminal networks are crucial activities to detect threats. But with bigger datasets, new data types and fast-paced environment, it has become a challenge to conduct network intelligence analysis. In this article, we show how graph visualizations can help network intelligence analysis activities by identifying and racking suspicious individuals and their connections.