Algorithms and Models for the Web-Graph

William Aiello

ISBN 10: 3540788077 / ISBN 13: 9783540788072

Published by Springer, Springer Mär 2008, 2008

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 184 pp. Englisch.

Seller Inventory # 9783540788072

Bibliographic Details

• Title: Algorithms and Models for the Web-Graph
• Publisher: Springer, Springer Mär 2008
• Publication Date: 2008
• Language: English
• ISBN 10: 3540788077
• ISBN 13: 9783540788072
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 11D millimeters 235 millimeters width by 155 millimeters height by 11 millimeters depth
• Weight: 289 grams

About this title

Synopsis

This book constitutes the revised papers of the Fourth International Workshop on Algorithms and Models for the Web-Graph, WAW 2006, held in Banff, Canada, November 30 - December 1, 2006. The 12 revised full papers and 3 posters presented were carefully reviewed and selected from 28 submissions for inclusion in the book. The papers address a wide variety of topics related to the study of the Web-graph such as algorithms for the Web-graph, PageRank analysis and computational as well as clustering.