Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Friends of the Multnomah County Library, Portland, OR, U.S.A.
Hardcover. Condition: Good. No dustjacket as issued. Visible indent about 1 inch long to bottom left of front cover, otherwise light shelf wear. Binding tight. All pages intact and free of marks.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Cambridge University Press, Cambridge, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models. Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master's-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketCondition: New. In.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Cambridge University Press, GB, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: California Books, Miami, FL, U.S.A.
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Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketCondition: New. In.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press CUP, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition niversity Press NO-PA16APR2015-KAP.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 375 pages. 10.50x7.50x0.50 inches. In Stock.
Language: English
Published by Cambridge University Press, GB, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
£ 100.48
Quantity: Over 20 available
Add to basketHardback. Condition: New. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, GB, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models.
Published by Cambridge University Press
Seller: Academic Book Solutions, Medford, NY, U.S.A.
hardcover. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models.
Language: English
Published by Cambridge University Press, GB, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: AHA-BUCH GmbH, Einbeck, Germany
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.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 375 pages. 10.50x7.50x0.50 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1107174007 ISBN 13: 9781107174009
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
£ 61.91
Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.