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This is a tour of Linkurious Starter, the browser-based application for the easy visualization of graph databases like Neo4j. Jean will play the Kevin Bacon game to find connections between Hollywood actors and show you how to use Linkurious Starter.

How to use graph visualization to investigate a bank loan fraud.

This presentation provides keys to choose a graph visualization library. It introduces technical challenges faced when building a web graph visualization library, and how to solve them. Interactive slides here.

research publications

Graph Viz 101

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 and initially published as a book chapter in Hocine Cherifi (editor), Complex Networks and their Applications, Cambridge University Press.

At Linkurious we are working on better software to help people visualize graphs easily. Of course writing software is a powerful way to improve our ability to tackle complexity but it is no substitute for human intelligence. With that in mind we write a series of posts that will teach you how to create, read, and interpret graphs visually. Taking their roots in the Königsberg Bridge Problem, graphs are meant to be seen.

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ForceAtlas2, A Continuous Graph Layout Algorithm for Handy Network Visualization designed for the Gephi software

written by Mathieu Jacomy, Tommaso Venturini, Sebastien Heymann, and Mathieu Bastian.

ForceAtlas2 is a force-directed layout close to other algorithms used for network spatialization. We integrate different techniques such as the Barnes Hut simulation, degree-dependent repulsive force, and local and global adaptive temperatures. We lay out its complete functioning for the users who need a precise understanding of its behaviour, from the formulas to graphic illustration of the result, and we propose a benchmark.

ForceAtlas2 is available in Linkurious product and development toolkit.

Read on PLOS One
Knot: an Interface for the Study of Social Networks in the Humanities

Giorgio Uboldi, Giorgio Caviglia, Nicole Coleman, Sébastien Heymann, Glauco Mantegari, and Paolo Ciuccarelli.

Knot is a digital tool for exploring historical social networks, developed within a multidisciplinary research context involving designers, humanities scholars and computer scientists. The goal of the tool is to provide scholars and researchers with an environment for exploring multi-dimensional and heterogeneous data, allowing them to discover and create explicit and implicit elationships between people, places and events. What distinguishes our approach to traditional network exploration and analysis is an emphasis on the construction of the network graph through the visual interface, rather than on its static observation.