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Lecture Slides for Algorithm Design
HITS is an algorithm for web search that builds on the eigenvector -based methods used in algorithms and served as the full-scale model for PageRank by recognizing that web pages or sites should be considered important not only if they are linked to by many others as in PageRank , but also if they link to many others. Search engines themselves are examples of sites that are important because they link to many others. Kleinberg realized that this generalization implies two different classes of important web pages, which he called "hubs" and "authorities". The HITS algorithm is an algorithm for automatically identifying the leading hubs and authorities in a network of hyperlinked pages. Kleinberg is also known for his work on algorithmic aspects of the small world experiment. The formal model in which Kleinberg studied this question is a two dimensional grid, where each node has both short-range connections edges to neighbours in the grid and long-range connections to nodes further apart.