Graph Mining (Record no. 84957)
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| 000 -LEADER | |
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| fixed length control field | 04312nam a22005175i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-01903-6 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730163746.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220601s2012 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031019036 |
| -- | 978-3-031-01903-6 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.312 |
| 100 1# - AUTHOR NAME | |
| Author | Chakrabarti, Deepayan. |
| 245 10 - TITLE STATEMENT | |
| Title | Graph Mining |
| Sub Title | Laws, Tools, and Case Studies / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2012. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVI, 191 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Data Mining and Knowledge Discovery, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 / Conclusions. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Faloutsos, Christos. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01903-6 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2012. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Statistics . |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Statistics. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2151-0075 |
| 912 ## - | |
| -- | ZDB-2-SXSC |
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