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.
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Introduction to the graph technologies landscape
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 […]
Interview: Discovering Business Opportunity in Linked Data
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 […]
GraphViz 101: interaction and data mining algorithms
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 […]
Travelling with graphs : from Königsberg to the Paris subway
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. […]
The rise of the full stack graph startup
The last year has seen a growing interest in graphs and the emergence of full stack graph startups. These startups rely on graph technologies to take on established industries like logistics, marketing or law. They find new ways to work with massive datasets and extract insights from connected data. Introducing the full stack graph startup […]