Posts

In this post, you will learn how to extract data from Dimensions website and how to clean them. These data allow you to build bibliographic networks.

In this post, you will learn how to extract data from Scopus website or with Scopus APIs and how to clean the data extracted from Scopus website. These data allow you to build bibliographic networks.

When the temptation is growing in you to try your hand at quantitative methods, the first question is likely to be “but how can I do, and which tools should I learn to use?” I give here some arguments to engage yourself in learning R and then present different tutorials and R packages useful for historians of economics.

I am very pleased to announce the initial release of biblionetwork to CRAN! biblionetwork is designed to build easily and quickly large list of edges for bibliometric networks. You can identify the edges for different types of network (bibliometric coupling or co-citation, or co-authorship networks) and use different methods to calculate the weights of edges.

This post comes back to my article “From the Stagflation to the Great Inflation” and proposes to navigate in the stagflation dataset I have built. Here, you can play interactively with the coupling and cocitation networks of my article.