In their original paper presenting Google, Larry and Sergey define PageRank like this: PR(A) = (1-d) + d (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn)). We dive into what that really means. Earlier today, Dixon ...

Here's an in-depth look into harmonic centrality, why it's useful for search engines, and how it compares against PageRank. Graphs help us understand the real world better by mathematical abstractions ...