Graph mining : laws, tools, and case studies

著者

• Chakraberti, D.
• Faloutsos, C.

書誌事項

Graph mining : laws, tools, and case studies

D. Chakraberti, C. Faloutsos

（Synthesis lectures on data mining and knowledge discovery, #6）

Morgan & Claypool Publishers, c2012

注記

Includes bibliographical references (p. 167-190)

内容説明・目次

内容説明

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.

目次

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

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB13337664
• ISBN:
  • 9781608451159
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: [San Rafael, Calif.]
• ページ数/冊数: xv, 191 p.
• 大きさ: 24 cm
• 親書誌ID:
  • BB01593146