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

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

by William Aiello
     
 

This book contains the revised papers of the Fourth International Workshop on Algorithms and Models for the Web-Graph. It covers a wide range of topics in the study of the Web-graph such as algorithms, PageRank analysis and computational as well as clustering.

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Overview

This book contains the revised papers of the Fourth International Workshop on Algorithms and Models for the Web-Graph. It covers a wide range of topics in the study of the Web-graph such as algorithms, PageRank analysis and computational as well as clustering.

Product Details

ISBN-13:
9783540788072
Publisher:
Springer Berlin Heidelberg
Publication date:
04/28/2008
Series:
Lecture Notes in Computer Science / Information Systems and Applications, incl. Internet/Web, and HCI Series, #4936
Edition description:
2008
Pages:
167
Product dimensions:
6.00(w) x 9.20(h) x 0.50(d)

Table of 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.

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