Combating money-laundering, fraud or cyber-crime is now a data-driven job. As we gather and analyze more and more data, the opportunity to find evidence of wrongdoings increases. But with large, inconsistent and scattered data sources, extracting insights is a challenge for many organizations.
Why is graph visualization so important? How can it help businesses sifting through large amounts of complex data? We explore the answer in this post through 5 benefits of graph visualization and different use cases.
Richard Brath & David Jonker, authors of “Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data”, recently sat down with us for an interview. These two experts shared their views on the role of graph visualization, how companies can use it and where it’s going. Can you introduce yourselves? David: Richard and I are […]
Graph Viz 101 is a series of posts to teach the basics of graph visualization, written by Sébastien Heymann in collaboration with Bénédicte Le Grand of Université de Paris 1. This is our seventh post, please discuss it below! Reaping Benefits from Data Mining Algorithms Visualization is part of a larger process to extract insights […]
This year the annual GraphLab Conference will bring together in San Francisco more than 900 data scientists, software engineers and big data analytics thinkers. They all share a real enthusiasm for the potential of graphs. The word used to be associated with tech giants like Google or Facebook who touted their Knowledge Graph and Social […]
The classical problem of the graph theory was framed by Leonhard Euler. He wanted to know whether someone could visit the city of Königsberg without crossing twice any of its 7 bridges. This little brainteaser for mathematicians inspired Euler with creating the concept of “graph”. The concept itself is abstract but graph theory has many concrete applications. […]