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Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and ultra-small, worlds. This is the first book to cover the theory and implications of local convergence, a crucial technique in the analysis of sparse random graphs. Suitable as a resource for researchers and PhD-level courses, it uses examples of real-world networks, such as the Internet and citation networks, as motivation for the models that are discussed, and includes exercises at the end of each chapter to develop intuition. The book closes with an extensive discussion of related models and problems that demonstratemodern approaches to network theory, such as community structure and directed models.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Hardcover. Condition: new. Hardcover. Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and ultra-small, worlds. This is the first book to cover the theory and implications of local convergence, a crucial technique in the analysis of sparse random graphs. Suitable as a resource for researchers and PhD-level courses, it uses examples of real-world networks, such as the Internet and citation networks, as motivation for the models that are discussed, and includes exercises at the end of each chapter to develop intuition. The book closes with an extensive discussion of related models and problems that demonstratemodern approaches to network theory, such as community structure and directed models. The first book to cover local convergence, this text discusses the local and global structure of random graph models for complex networks. Featuring examples of real-world networks for motivation and numerous exercises to build experience, it will be the definitive resource on the subject for researchers and graduate students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Language: English
Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Hardcover. Condition: new. Hardcover. Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and ultra-small, worlds. This is the first book to cover the theory and implications of local convergence, a crucial technique in the analysis of sparse random graphs. Suitable as a resource for researchers and PhD-level courses, it uses examples of real-world networks, such as the Internet and citation networks, as motivation for the models that are discussed, and includes exercises at the end of each chapter to develop intuition. The book closes with an extensive discussion of related models and problems that demonstratemodern approaches to network theory, such as community structure and directed models. The first book to cover local convergence, this text discusses the local and global structure of random graph models for complex networks. Featuring examples of real-world networks for motivation and numerous exercises to build experience, it will be the definitive resource on the subject for researchers and graduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Buch. Condition: Neu. Random Graphs and Complex Networks | Remco Van Der Hofstad | Buch | Englisch | 2024 | Cambridge University Press | EAN 9781107174009 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
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Hardcover. Condition: new. Hardcover. Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and ultra-small, worlds. This is the first book to cover the theory and implications of local convergence, a crucial technique in the analysis of sparse random graphs. Suitable as a resource for researchers and PhD-level courses, it uses examples of real-world networks, such as the Internet and citation networks, as motivation for the models that are discussed, and includes exercises at the end of each chapter to develop intuition. The book closes with an extensive discussion of related models and problems that demonstratemodern approaches to network theory, such as community structure and directed models. The first book to cover local convergence, this text discusses the local and global structure of random graph models for complex networks. Featuring examples of real-world networks for motivation and numerous exercises to build experience, it will be the definitive resource on the subject for researchers and graduate students. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.