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Algorithms and Models for the Web-Graph [electronic resource] :Fourth International Workshop, WAW 2006, Banff, Canada, November 30 - December 1, 2006. Revised Papers /

Contributor(s): Aiello, William [editor.] | Broder, Andrei [editor.] | Janssen, Jeannette [editor.] | Milios, Evangelos [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 4936Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: X, 167 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540788089.Subject(s): Computer science | Data mining | Computer Science | Data Mining and Knowledge Discovery | Information Systems Applications (incl. Internet)Online resources: Click here to access online
Contents:
Modelling and Mining of Networked Information Spaces -- Workshop on Algorithms and Models for the Web Graph -- Expansion and Lack Thereof in Randomly Perturbed Graphs -- Web Structure in 2005 -- Local/Global Phenomena in Geometrically Generated Graphs -- Approximating PageRank from In-Degree -- Probabilistic Relation between In-Degree and PageRank -- Communities in Large Networks: Identification and Ranking -- Combating Spamdexing: Incorporating Heuristics in Link-Based Ranking -- Traps and Pitfalls of Topic-Biased PageRank -- A Scalable Multilevel Algorithm for Graph Clustering and Community Structure Detection -- A Phrase Recommendation Algorithm Based on Query Stream Mining in Web Search Engines -- Characterization of Graphs Using Degree Cores -- Web Structure Mining by Isolated Stars -- Representing and Quantifying Rank - Change for the Web Graph.
In: Springer eBooks
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Modelling and Mining of Networked Information Spaces -- Workshop on Algorithms and Models for the Web Graph -- Expansion and Lack Thereof in Randomly Perturbed Graphs -- Web Structure in 2005 -- Local/Global Phenomena in Geometrically Generated Graphs -- Approximating PageRank from In-Degree -- Probabilistic Relation between In-Degree and PageRank -- Communities in Large Networks: Identification and Ranking -- Combating Spamdexing: Incorporating Heuristics in Link-Based Ranking -- Traps and Pitfalls of Topic-Biased PageRank -- A Scalable Multilevel Algorithm for Graph Clustering and Community Structure Detection -- A Phrase Recommendation Algorithm Based on Query Stream Mining in Web Search Engines -- Characterization of Graphs Using Degree Cores -- Web Structure Mining by Isolated Stars -- Representing and Quantifying Rank - Change for the Web Graph.

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