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 […]

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# Publications | Graph Viz 101

RSS feed for this section# 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 […]

# 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 […]

# Graph Viz 101: the non-linear data processing chain

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 sixth post, please discuss it below! Visualization alone is not enough Visualization is part of a larger process to extract insights from […]

# Graph Viz 101: a visual language of node-link diagrams

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 fifth post, please discuss it below! In this blog post we introduce the mapping of data to visual representations in node-link diagrams, […]