Algorithms and Models for the Web-Graph: 5th International Workshop, WAW 2007, San Diego, CA, USA, December 11-12, 2007, Proceedings by Anthony BonatoAlgorithms and Models for the Web-Graph: 5th International Workshop, WAW 2007, San Diego, CA, USA, December 11-12, 2007, Proceedings by Anthony Bonato

Algorithms and Models for the Web-Graph: 5th International Workshop, WAW 2007, San Diego, CA, USA…

byAnthony BonatoEditorFan R.K. Chung

Hardcover | November 16, 2007

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This book constitutes the refereed proceedings of the 5th International Workshop on Algorithms and Models for the Web-Graph, WAW 2007, held in San Diego, CA, USA, in December 2007 - colocated with WINE 2007, the Third International Workshop on Internet and Network Economics. The 13 revised full papers and five revised short papers presented were carefully reviewed and selected from a large pool of submissions for inclusion in the book. The papers address a wide variety of topics.

Title:Algorithms and Models for the Web-Graph: 5th International Workshop, WAW 2007, San Diego, CA, USA…Format:HardcoverDimensions:217 pages, 23.5 × 15.5 × 0.01 inPublished:November 16, 2007Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540770038

ISBN - 13:9783540770039

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Table of Contents

Bias Reduction in Traceroute Sampling - Towards a More Accurate Map of the Internet.- Distribution of PageRank Mass Among Principle Components of the Web.- Finding a Dense-Core in Jellyfish Graphs.- A Geometric Preferential Attachment Model of Networks II.- Clustering Social Networks.- Manipulation-Resistant Reputations Using Hitting Time.- Using Polynomial Chaos to Compute the Influence of Multiple Random Surfers in the PageRank Model.- A Spatial Web Graph Model with Local Influence Regions.- Determining Factors Behind the PageRank Log-Log Plot.- Approximating Betweenness Centrality.- Random Dot Product Graph Models for Social Networks.- Local Computation of PageRank Contributions.- Local Partitioning for Directed Graphs Using PageRank.- Stochastic Kronecker Graphs.- Deterministic Decentralized Search in Random Graphs.- Using Bloom Filters to Speed Up HITS-Like Ranking Algorithms.- Parallelizing the Computation of PageRank.- Giant Component and Connectivity in Geographical Threshold Graphs.