in CSS, Dimensionality Reduction, English, Turkish Media, Twitter Analysis, Visualization

Turkish Media in 2D (MDS & PCA Plots)

Multidimensional scaling (MDS) allows us to visualize (dis)similarities in 2D by trying to preserve the distance between the objects as much as possible. The positioning of the newspapers in the image below is generated using this technique (employed manifold.MDS class in scikit-learn). The colors of the labels are the cluster colors obtained by modularity measure as stated in a previous post.

We also considered reducing the dimension by Principal Component Analysis (PCA). Resulting image is very similar to that of MDS and that is also available here.

This visualization helps us to see beyond clusters. For example (along X-axis) the newspapers to the right are right-wing newspapers while the ones to the left are more leftist. And as we go from center to periphery we see that more popular media are close to the central while the ones to the periphery are more isolated/extreme.

Multidimensional Scaling

Multidimensional Scaling applied to Turkish Media Follower Similarity on Twitter