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Algorithms and Models for the Web-Graph

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Algorithms and Models for the Web-Graph
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Algorithms and Models for the Web-Graph
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    Chapter 2 Analyzing the Small World Phenomenon Using a Hybrid Model with Local Network Flow (Extended Abstract)
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    Chapter 3 Dominating Sets in Web Graphs
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    Chapter 4 A Geometric Preferential Attachment Model of Networks
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    Chapter 5 Traffic-Driven Model of the World Wide Web Graph
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    Chapter 6 On Reshaping of Clustering Coefficients in Degree-Based Topology Generators
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    Chapter 7 Generating Web Graphs with Embedded Communities
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    Chapter 8 Making Eigenvector-Based Reputation Systems Robust to Collusion
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    Chapter 9 Towards Scaling Fully Personalized PageRank
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    Chapter 10 Fast PageRank Computation Via a Sparse Linear System (Extended Abstract)
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    Chapter 11 T-Rank: Time-Aware Authority Ranking
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    Chapter 12 Links in Hierarchical Information Networks
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    Chapter 13 Crawling the Infinite Web: Five Levels Are Enough
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    Chapter 14 Do Your Worst to Make the Best: Paradoxical Effects in PageRank Incremental Computations
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    Chapter 15 Communities Detection in Large Networks
Attention for Chapter 2: Analyzing the Small World Phenomenon Using a Hybrid Model with Local Network Flow (Extended Abstract)
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