The document discusses various link analysis techniques for web search, including: 1) HITS identifies hubs and authorities through an iterative algorithm that computes mutually reinforcing scores; authorities are pages pointed to by many hubs and hubs point to many authorities. 2) PageRank models a random surfer on the web and ranks pages by the probability that the surfer would be at that page; it was key to Google's early success over other search engines. 3) Personalized PageRank can bias results based on a user's homepage and related pages.