"Algorithms and Models for the Web Graph" - Information and Links:

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11th International Workshop, WAW 2014, Beijing, China, December 17-18, 2014, Proceedings

"Algorithms and Models for the Web Graph" was published by Springer London, Limited in 2014 - Cham, it has 161 pages and the language of the book is English.


“Algorithms and Models for the Web Graph” Metadata:

  • Title: ➤  Algorithms and Models for the Web Graph
  • Author:
  • Language: English
  • Number of Pages: 161
  • Publisher: Springer London, Limited
  • Publish Date:
  • Publish Location: Cham

“Algorithms and Models for the Web Graph” Subjects and Themes:

Edition Identifiers:

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"Algorithms and Models for the Web Graph" Description:

Open Data:

Intro -- Preface -- Organization -- Contents -- Clustering and the Hyperbolic Geometry of Complex Networks -- 1 Introduction -- 1.1 Random Geometric Graphs on the Hyperbolic Plane -- 1.2 Notation -- 2 Some Geometric Aspects of the Two Models -- 3 The Clustering Coefficient -- 4 Conclusions -- References -- Burning a Graph as a Model of Social Contagion -- 1 Introduction -- 2 Properties of the Burning Number -- 2.1 Characterizations of Burning Number via Trees -- 2.2 Bounds -- 3 Burning in the ILT Model -- 4 Cartesian Grids -- 5 Conclusions and Future Work -- References -- Personalized PageRank with Node-Dependent Restart -- 1 Introduction and Definitions -- 2 Occupation-Time Personalized PageRank -- 3 Location-of-Restart Personalized PageRank -- 4 Interesting Particular Cases -- 4.1 Constant Probability of Restart -- 4.2 Restart Probabilities Proportional to Powers of Degrees -- 4.3 Random Walk with Jumps -- 5 Discussion -- References -- Efficient Computation of the Weighted Clustering Coefficient -- 1 Introduction -- 1.1 Related Works -- 2 Preliminaries -- 2.1 Generalizations of Clustering Coefficient in Weighted Networks -- 3 Computing the Weighted Clustering Coefficient in Probabilistic Networks -- 4 Efficient Estimators for the Weighted Clustering Coefficient -- 5 Experiments -- References -- Global Clustering Coefficient in Scale-Free Networks -- 1 Introduction -- 2 Clustering Coefficients -- 3 Scale-Free Graphs -- 4 Existence of a Graph with Given Degree Distribution -- 4.1 Result -- 4.2 Auxiliary Results -- 4.3 Proof of Theorem 1 -- 5 Global Clustering Coefficient -- 5.1 Result -- 5.2 Proof of Theorem 4 -- 6 Experiments -- 7 Conclusion -- References -- Efficient Primal-Dual Graph Algorithms for MapReduce -- 1 Introduction -- 1.1 Problem Formulations and Results -- 1.2 Technique: Width Modulation -- 1.3 Related Work

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