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

Open Data:

Intro -- Preface -- Organization -- Contents -- Properties of Large Graph Models -- Robustness of Spatial Preferential Attachment Networks -- 1 Introduction -- 2 The Model -- 3 Statement of the Result -- 4 Proof Ideas and Strategies -- 4.1 Robustness: Strategy of Proof -- 4.2 Non-robustness: Strategy of Proof -- References -- Local Clustering Coefficient in Generalized Preferential Attachment Models -- 1 Introduction -- 2 Generalized Preferential Attachment -- 2.1 Definition of the PA-class -- 2.2 Power Law Degree Distribution -- 2.3 Clustering Coefficient -- 3 The Average Local Clustering for the Vertices of Degree d -- 4 Proofs -- 4.1 Proof of Theorem ?? -- 4.2 Proof of Theorem ?? -- 5 Conclusion -- References -- Hyperbolicity, Degeneracy, and Expansion of Random Intersection Graphs -- 1 Introduction -- 2 Preliminaries -- 2.1 Random Intersection Graphs -- 2.2 Degeneracy and Expansion -- 2.3 Gromov's Hyperbolicity -- 3 Structural Sparsity of Random Intersection Graphs -- 3.1 Bounded Attribute-Degrees -- 3.2 Alternative Characterization of Bounded Expansion -- 3.3 Stable r-Subdivisions -- 3.4 Density -- 3.5 Main Result -- 4 Hyperbolicity -- 5 Conclusion and Open Problems -- References -- Degree-Degree Distribution in a Power Law Random Intersection Graph with Clustering -- 1 Introduction -- 2 Proofs -- References -- Upper Bounds for Number of Removed Edges in the Erased Configuration Model -- 1 Introduction -- 2 Erased Configuration Model -- 3 Main Result -- 4 Upper Bounds for Erased Edges -- 4.1 The Upper Bounds OP (n4 - 3) and OP (n-1) -- 4.2 The Upper Bound OP (n1 - 1) -- 5 Discussion -- References -- The Impact of Degree Variability on Connectivity Properties of Large Networks -- 1 Introduction -- 2 The Branching Functional of the Configuration Model -- 2.1 Size Biasing and Downshifting -- 2.2 Branching Functional of the Configuration Model

Search for “Algorithms and Models for the Web Graph” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Algorithms and Models for the Web Graph” in Libraries Near You:

Read or borrow “Algorithms and Models for the Web Graph” from your local library.

• The WorldCat Libraries Catalog: Find a copy of “Algorithms and Models for the Web Graph” at a library near you.