This is an update of a benchmark of popular graph / network packages post. This study aims to serve as a starting point for anyone interested in applied graph or network analysis. The featured network packages offer a convenient and standardised API for modelling data as graphs and extracting network related ...

One of the main challenges that every data scientist face is model deployment. Unless you are one of the lucky few who has loads of data engineers to help you deploy a model, it’s really an issue in enterprise projects. I am not even implying that the model needs ...

Back to blogging! Sorry for the long hiatus, had some personal projects which kept me really occupied over the past few months. Hope to share about them one of these days and potentially even explore open sourcing parts of them but the idea of this post is to transfer some ...

In this post I benchmark the performance of 5 popular graph/network packages. This was inspired by two questions I had: Recently, I have been working with large networks (millions of vertices and edges) and often wonder what is the best currently a...

The idea of having a 360 degree view of the entire job seeking and matching landscape has always been a dream of any labour economist. Just imagine, a dataset of CVs and job seekers matched with job advertisements and openings! The potential of such a dataset to answer existing questions on ...

This is the second post of a character network analysis of George R. R. Martin’s A Song Of Ice and Fire (ASOIAF) series as well as my first submission to the R Bloggers community. A warm welcome to all readers out there! In my first post, I touched on ...

While waiting for the winds of winter to arrive, there is plenty of time to revisit the 5 books. One of my favourite aspects of the series is the character and world building. As the song of ice and fire universe is so big, many characters are mentioned in passing while ...

Introduction Two years ago I came across Pearl’s work on using directed cyclical graphs (DAGs) to model the problem of causal inference and have read the debate between academics on Pearl’s framework vs Rubin’s potential outcomes framework. Then...

Came across a fun little problem over the past few weeks that is related to the topic of policy impact evaluation - a long time interest of mine! Here’s the setting: we have a large population of individuals and a number of treatments that we want to gauge the ...