This paper presents a method for identifying authoritative information sources on broad search topics using the link structure of the World Wide Web (www). The authors propose an algorithmic formulation of authority based on the relationship between authoritative pages and hub pages that link to them. The algorithm uses iterative processes to compute weights for pages, which are then used to identify hubs and authorities. The method is tested on various queries and is shown to effectively identify authoritative pages even when they are not directly related to the query string. The algorithm is applied to construct focused subgraphs of the www, which are then used to identify hubs and authorities. The method is compared to other approaches in the literature, including social network analysis, bibliometrics, and hypertext search techniques. The authors conclude that their method provides a robust way to identify authoritative pages on the www, even when direct access to a large-scale index is not available. The algorithm is shown to be effective in identifying relevant, authoritative pages for a variety of queries, including specific, broad-topic, and similar-page queries. The method is also applied to similar-page queries, where it is used to identify pages that are related to a given page based on their link structure. The authors argue that their approach provides a more effective way to identify authoritative pages than traditional text-based search methods.This paper presents a method for identifying authoritative information sources on broad search topics using the link structure of the World Wide Web (www). The authors propose an algorithmic formulation of authority based on the relationship between authoritative pages and hub pages that link to them. The algorithm uses iterative processes to compute weights for pages, which are then used to identify hubs and authorities. The method is tested on various queries and is shown to effectively identify authoritative pages even when they are not directly related to the query string. The algorithm is applied to construct focused subgraphs of the www, which are then used to identify hubs and authorities. The method is compared to other approaches in the literature, including social network analysis, bibliometrics, and hypertext search techniques. The authors conclude that their method provides a robust way to identify authoritative pages on the www, even when direct access to a large-scale index is not available. The algorithm is shown to be effective in identifying relevant, authoritative pages for a variety of queries, including specific, broad-topic, and similar-page queries. The method is also applied to similar-page queries, where it is used to identify pages that are related to a given page based on their link structure. The authors argue that their approach provides a more effective way to identify authoritative pages than traditional text-based search methods.