Overview

This book constitutes the refereed proceedings of the Third International Workshop on Algorithms and Models for the Web-Graph, WAW 2004, held in Rome, Italy in October 2004.The 14 revised full papers presented together with an invited paper were carefully reviewed and selected from 31 submissions. The papers address a variety of topics related to the study of the Web-graph including random graphs, local network flow, network models, traffic driven Web-graph modeling, embedded communities, Web data mining, personalization, page tank computation, hierarchical information networks, Web crawling, community detection, and network communities.

Full Product Details

Author:   Stefano Leonardi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2004 ed.
Volume:   3243
Dimensions:   Width: 15.20cm , Height: 1.00cm , Length: 22.90cm
Weight:   0.650kg
ISBN:  

9783540234272

ISBN 10:   3540234276
Pages:   191
Publication Date:   06 October 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

IBM Invited Lecture.- The Phase Transition and Connectedness in Uniformly Grown Random Graphs.- Contributed Papers.- Analyzing the Small World Phenomenon Using a Hybrid Model with Local Network Flow (Extended Abstract).- Dominating Sets in Web Graphs.- A Geometric Preferential Attachment Model of Networks.- Traffic-Driven Model of the World Wide Web Graph.- On Reshaping of Clustering Coefficients in Degree-Based Topology Generators.- Generating Web Graphs with Embedded Communities.- Making Eigenvector-Based Reputation Systems Robust to Collusion.- Towards Scaling Fully Personalized PageRank.- Fast PageRank Computation Via a Sparse Linear System (Extended Abstract).- T-Rank: Time-Aware Authority Ranking.- Links in Hierarchical Information Networks.- Crawling the Infinite Web: Five Levels Are Enough.- Do Your Worst to Make the Best: Paradoxical Effects in PageRank Incremental Computations.- Communities Detection in Large Networks.

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