Graph Mining

Language: English

Published by Springer, Springer Okt 2012, 2012

3031007751 / 9783031007750

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This item is printed on demand - Print on Demand Titel. Neuware -What does the Web look like How can we find patterns, communities, outliers, in a social network Which are the most central nodes in a network These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. 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. Table of Contents: 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 / ConclusionsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch. …

Seller Inventory # 9783031007750

Title
Graph Mining
Author
Deepayan Chakrabarti
Publisher
Springer, Springer Okt 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031007751
ISBN 13
9783031007750
Item weight
399 grams
Dimensions
235x191x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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