Algorithms and Models for the Web Graph

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Cover of 'Algorithms and Models for the Web Graph'

Table of Contents

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Book Overview
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Chapter 1 An Upper Bound on the Burning Number of Graphs
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Chapter 2 Assortativity in Generalized Preferential Attachment Models
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Chapter 3 Diclique Clustering in a Directed Random Graph
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Chapter 4 Algorithms and Models for the Web Graph
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Chapter 5 Existence and Region of Critical Probabilities in Bootstrap Percolation on Inhomogeneous Periodic Trees
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Chapter 6 Fast Approximation Algorithms for p -centers in Large $$\delta $$ δ -hyperbolic Graphs
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Chapter 7 Graphon-Inspired Analysis on the Fluctuation of the Chinese Stock Market
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Chapter 8 Max Celebrity Games
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Chapter 9 Mining and Modeling Character Networks
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Chapter 10 Modularity of Complex Networks Models
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Chapter 11 Algorithms and Models for the Web Graph
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Chapter 12 Subgraphs in Non-uniform Random Hypergraphs
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Chapter 13 The Spread of Cooperative Strategies on Grids with Random Asynchronous Updating

Attention for Chapter 4: Algorithms and Models for the Web Graph

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Konstantin Avrachenkov, Vivek S. Borkar, Krishnakant Saboo. Distributed and Asynchronous Methods for Semi-supervised Learning. Bonato, Anthony and Graham, Fan Chung and Pralat, Pawel. Algorithms and Models for the Web Graph: 13th International Workshop, W

HAL Archives-Ouvertes, 21 Nov 2016

Konstantin Avrachenkov, Vivek S. Borkar, Krishnakant Saboo. Distributed and Asynchronous Methods for Semi-supervised Learning.

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