Jeromy Carri`ere and Rick Kazman. Webquery: Searching and visualizing the web through connectivity. Proc. 6th International WWW Conference, 1997.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....http: www.bethany.org Bethany Christian Services (3) 0.1614 http: www.ldi.org abortion malpractice litigation (1) 0.1401 http: www.serve.com fem4life Feminists for Life of America (3) 0. 1221 Principal Community, SALSA: url title cat weight http: www.nrlc.org National Right To Life (3) 0.3440 http: www.prolife.org ultimate The Ultimate Pro Life Resource List (3) 0.2847 http: www.naral.org NARAL Choice for America (3) 0.2402 http: www.feminist.org Feminist Majority Foundation (3) 0.1868 http: www.now.org National Organization for Women (3) 0.1779 ....

....Bethany Christian Services (3) 0.1614 http: www.ldi.org abortion malpractice litigation (1) 0.1401 http: www.serve.com fem4life Feminists for Life of America (3) 0.1221 Principal Community, SALSA: url title cat weight http: www.nrlc.org National Right To Life (3) 0. 3440 http: www.prolife.org ultimate The Ultimate Pro Life Resource List (3) 0.2847 http: www.naral.org NARAL Choice for America (3) 0.2402 http: www.feminist.org Feminist Majority Foundation (3) 0.1868 http: www.now.org National Organization for Women (3) 0.1779 ....

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Jeromy Carri`ere and Rick Kazman. Webquery: Searching and visualizing the web through connectivity. Proc. 6th International WWW Conference, 1997.

....to other pages, so that the graph contains several billion hyperlinks in all. IBM Almaden Research Center K53 B1, 650 Harry Road, San Jose CA 95120. y Computer Science Department, Brown University, Providence, RI. The network of links in this graph have already led to improved Web search [7, 10, 23, 32] and more accurate topicclassification algorithms [14] and has inspired algorithms for enumerating emergent cyber communities [25] The hyperlinks further represent a fertile source of sociological information. Beyond the intrinsic interest of the topology of the Web graph, measurements of the ....

....to be far harder than in traditional graph models in which the edges emanating from a node are drawn independently. We conclude in Section 5 with a number of directions for further work. 1. 2 Related work The structure of the Web graph has been exploited to enhance the quality of Web search [6, 7, 10, 11, 23, 32]. In the setting of supervised classification [14] the topics of pages pointed to by a Web page v can be used to improve the accuracy of determining the (unknown) topic of v. Power law distributions seem to characterize Web citation frequency; interestingly, similar distributions have been ....

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J. Carri`ere and R. Kazman. WebQuery: Searching and visualizing the Web through connectivity. Proc. 6th WWW Conf., 1997.

....is growing by a few percent a month. The average node has roughly seven hyperlinks (directed edges) to other pages, making for a total of several billion hyperlinks in all. There are several reasons for studying the Web graph. The structure of this graph has already led to improved Web search [6, 8, 21, 29], more accurate topic classification algorithms [11] and has inspired algorithms for enumerating emergent cyber communities [23] The hyperlinks themselves represent a fecund source of sociological information. Beyond the intrinsic interest of the structure of the Web graph, measurements of the ....

....to be far harder than in traditional graph models in which the edges emanating from a node are drawn independently. We conclude in Section 5 with a number of directions for further work. 1. 2 Related work Analysis of the structure of the Web graph has been used to enhance the quality of Web search [5, 6, 8, 9, 21, 29]. The topics of pages pointed to by a Web page can be used to improve the accuracy of determining the (unknown) topic of this page in the setting of supervised classification [11] Statistical analysis of the structure of the academic citation graph has been the subject of much work in the ....

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J. Carri`ere and R. Kazman. WebQuery: Searching and visualizing the Web through connectivity. Proc. 6th WWW Conf., 1997.

.... rank to each page on the www, so that subsequent user searches can be focused on highly ranked pages; the rank of a page is based on a weight propagation algorithm that corresponds roughly to simulating a short random walk on the directed link graph of the www. Finally, Carri ere and Kazman [4] propose a link based method for visualizing and ranking the results of queries returned by www search engines. Their method is essentially to (1) enlarge the set S of returned pages to include any page joined to a member of S via a link (in either direction) and then (2) rank each page p in this ....

.... in this enlarged set according to the number of pages connected to p via links (again, in either direction) Although the notion of augmenting search engine results to a one step neighborhood is a basic step in our method, the algorithmic component of our work differs significantly from that of [4]. In particular, we make crucial use of the directionality of hyperlinks, including the explicit distinction of hubs and authorities; our ranking of pages is not obtained by a direct counting of neighbors in the link structure; and our framework naturally allows for the construction of multiple ....

J. Carri`ere, R. Kazman, "WebQuery: Searching and visualizing the Web through connectivity," Proc. 6th International World Wide Web Conference, 1997.

....annotation of the environment, and thus offers a promising starting point for structural studies of the Web. There has been a growing amount of work directed at the integration of textual content and link information for the purpose of organizing [2, 4, 12, 23] visualizing [6, 20] and searching [1, 7, 5, 13, 16, 18, 21, 22, 24, 25]) in hypermedia environments such as the www. The present work originates from the notion of searching on the www, but it also attempts to deal explicitly with the problem of defining a meaningful notion of structure in such an environment, as a way of addressing issues such as navigation and ....

....corpus, and makes no use of matrices with term weights. RELATED WORK The use of link information to improve search performance on the www has been advanced in previous work; hyperlink analysis has been used for enhancing relevance judgments [1, 13, 18, 25] as well as for ranking www pages [7, 21, 22, 16]. Link structures have been studied in hypertext research that predates the www; in particular, Botafogo et al. 4] introduce graph theoretic measures based on link density and node to node distances for clustering and searching in hypermedia. Their notions of index and reference nodes bear a ....

J. Carri`ere, R. Kazman, "WebQuery: Searching and visualizing the Web through connectivity," Proc. 6th International World Wide Web Conference, 1997.

....of latent human annotation, and thus offers a promising starting point for structural studies of the Web. There has been a growing amount of work directed at the integration of textual content and link information for the purpose of organizing [2, 4, 13, 24] visualizing [7, 21] and searching [1, 5, 6, 14, 17, 19, 22, 23, 25, 26] in hypermedia such as the www. The present work originates from the problem of searching on the www; building on this, it attempts to deal explicitly with defining a meaningful notion of structure in such an environment, as a way of addressing issues such as navigation and information discovery. ....

....a hyperlinked corpus, and makes no use of matrices with term weights. The use of link information to improve search performance on the www has been advanced in previous work; hyperlink analysis has been used for enhancing relevance judgments [1, 12, 14, 19, 26] as well as for ranking www pages [5, 22, 23, 17]. Link structures have been studied in hypertext research that predates the www; in particular, Botafogo et al. 4] introduce graph theoretic measures based on link density and node to node distances for clustering and searching in hypermedia. Their notions of index and reference nodes bear a ....

J. Carri`ere, R. Kazman, "WebQuery: Searching and visualizing the Web through connectivity, " Proc. 6th International World Wide Web Conference, 1997.

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