Buch, Englisch, 207 Seiten, Paperback, Format (B × H): 187 mm x 235 mm
Reihe: Synthesis Lectures on Data Mining and Knowledge Discovery
Laws, Tools, and Case Studies
Buch, Englisch, 207 Seiten, Paperback, Format (B × H): 187 mm x 235 mm
Reihe: Synthesis Lectures on Data Mining and Knowledge Discovery
ISBN: 978-1-60845-115-9
Verlag: Morgan & Claypool Publishers
In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with ""what if"" scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous ""pageRank"" algorithm and the ""HITS"" algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints.
Autoren/Hrsg.
Weitere Infos & Material
- Introduction
- Patterns in Static Graphs
- Patterns in Evolving Graphs
- Patterns in Weighted Graphs
- Discussion: The Structure of Specific Graphs
- Discussion: Power Laws and Deviations
- Summary of Patterns
- Graph Generators
- Preferential Attachment and Variants
- Incorporating Geographical Information
- The RMat
- Graph Generation by Kronecker Multiplication
- Summary and Practitioner's Guide
- SVD, Random Walks, and Tensors
- Tensors
- Community Detection
- Influence/Virus Propagation and Immunization
- Case Studies
- Social Networks
- Other Related Work
- Conclusions