Algorithms and Models for the Web Graph - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- Hypergraph Analytics of Domain Name System Relationships -- 1 Introduction -- 2 Hypergraph Analytics -- 3 Hypergraph Representations of DNS Data -- 4 Chapel Hypergraph Library (CHGL) -- 5 Computational Results -- 6 Analytical Results -- 7 Conclusions and Future Work -- References -- Global Graph Curvature -- 1 Introduction -- 2 Background and Related Work -- 3 Local Graph Curvatures -- 4 Global Graph Curvature -- 4.1 Definition -- 4.2 Approximations -- 5 Theoretical Analysis of Global Curvature -- 5.1 Star Sn -- 5.2 Tree Tb with Branching Factor b -- 5.3 Complete Graph Kn -- 5.4 Cycle Graph Cn -- 5.5 Complete Bipartite Graph Kl,m -- 6 Conclusion -- A Geometrical Properties of Spaces of Constant Curvature -- B Proof of Theorem1 -- C Proof of Theorem2 -- References -- Information Diffusion in Complex Networks: A Model Based on Hypergraphs and Its Analysis -- 1 Introduction -- 2 Background -- 2.1 Hypergraphs -- 2.2 Dynamic Social Influence Diffusion on Hypergraphs -- 2.3 Models for Random Hypergraphs -- 3 Related Work -- 4 Finding the Minimum Target Set on Hypergraphs -- 5 Experiments -- 5.1 Random Networks -- 5.2 Game-of-Thrones TV Series Network -- 6 Conclusions and Future Work -- References -- A Scalable Unsupervised Framework for Comparing Graph Embeddings -- 1 Introduction -- 2 General Framework -- 2.1 Intuition Behind the Algorithm -- 2.2 Algorithm -- 2.3 Illustration -- 3 Geometric Chung-Lu Model -- 4 Complexity-Scalable Algorithm -- 5 Future Directions -- References -- Assortativity and Bidegree Distributions on Bernoulli Random Graph Superpositions -- 1 Introduction -- 1.1 Notations -- 2 Assortativity and Bidegree Distributions -- 2.1 Empirical Quantities -- 2.2 Model Quantities -- 3 Random Graph Superposition Model -- 4 Main Results -- 4.1 Bidegree Distribution -- 4.2 Assortativity

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