R

Explore X (formerly Twitter) data clusters to uncover user behaviors (e.g., repost and reply patterns) within online communities. This guide focuses on a politically charged data set to illustrate the process of visualizing and analyzing social data.

Python and R empower data scientists to solve problems using elegant syntactic sugar, simplifying coding and solution exploration. Each language brings its unique capabilities and approach to bear.

Microsoft’s Power BI is one of the most popular software solutions used to perform social network analysis. Here’s how to create custom Power BI visuals in R for compelling and flexible results.

Centrality and text analysis allow users to get more out of their social network data. Here’s how you can leverage them using R and Gephi.