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Algorithms and Models for the Web Graph

Overview of attention for book
Cover of 'Algorithms and Models for the Web Graph'

Table of Contents

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    Book Overview
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    Chapter 1 A Spectral Algorithm for Computing Social Balance
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    Chapter 2 High-Ordered Random Walks and Generalized Laplacians on Hypergraphs
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    Chapter 3 Detecting the Structure of Social Networks Using (α,β)-Communities
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    Chapter 4 Latent Clustering on Graphs with Multiple Edge Types
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    Chapter 5 Quick Detection of Top-k Personalized PageRank Lists
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    Chapter 6 Rank-Based Models of Network Structure and the Discovery of Content
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    Chapter 7 1-Local 33/24-Competitive Algorithm for Multicoloring Hexagonal Graphs
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    Chapter 8 Modeling Social Networks through User Background and Behavior
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    Chapter 9 Dirichlet PageRank and Trust-Based Ranking Algorithms
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    Chapter 10 Efficient Generation of Networks with Given Expected Degrees
Attention for Chapter 4: Latent Clustering on Graphs with Multiple Edge Types
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