June Choe présente l'utilisation de treemap et la transformation de son output pour l'utiliser dans ggplot2 afin de bénéficier d'un max de personnalisation
June Choe presents the use of treemap and the transformation to use its output into ggplot2 for maximum customization
Visualisation de citations d'un article en graphe. Super pratique pour voir qui cite qui avec en plus une échelle de temps !
Get a visual overview of a new academic field : Enter a typical paper and we'll build you a graph of similar papers in the field. Explore and build more graphs for interesting papers that you find - soon you'll have a real, visual understanding of the trends, popular works and dynamics of the field you're interested in.
Make sure you haven't missed an important paper : In some fields like Machine Learning, so many new papers are published it's hard to keep track. With Connected Papers you can just search and visually discover important recent papers. No need to keep lists.
Create the bibliography to your thesis : Start with the references that you will definitely want in your bibliography and use Connected Papers to fill in the gaps and find the rest!
Discover the most relevant prior and derivative works : Use our Prior Works view to find important ancestor works in your field of interest. Use our Derivative Works view to find literature reviews of the field, as well as recently published State of the Art that followed your input paper.
Une librairie pour faire de la visualisation et étude de réseaux/graphes (suite à une discussion avec Norore)
A python library for visualisation and analysis of networks/graphs (following a chat with Norore)