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Artikelmerkmale
- Artikelzustand
- ISBN
- 9780198805090
- Subject Area
- Computers, Science, Mathematics, Social Science
- Publication Name
- Networks
- Item Length
- 10 in
- Publisher
- Oxford University Press, Incorporated
- Subject
- Networking / General, General, System Theory, Algebra / General
- Publication Year
- 2018
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.7 in
- Item Width
- 7.7 in
- Item Weight
- 65.8 Oz
- Number of Pages
- 800 Pages
Über dieses Produkt
Product Information
The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadlyinterdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together themost important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories ofdynamical processes taking place on networks.
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0198805098
ISBN-13
9780198805090
eBay Product ID (ePID)
14038263817
Product Key Features
Publication Name
Networks
Format
Hardcover
Language
English
Subject
Networking / General, General, System Theory, Algebra / General
Publication Year
2018
Type
Textbook
Subject Area
Computers, Science, Mathematics, Social Science
Number of Pages
800 Pages
Dimensions
Item Length
10 in
Item Height
1.7 in
Item Width
7.7 in
Item Weight
65.8 Oz
Additional Product Features
Edition Number
2
LCCN
2018-930384
Intended Audience
Scholarly & Professional
Lc Classification Number
Tk5105.5
Reviews
"This is the definitive book on networks, friendly enough for anyone to read and serious enough for researchers to find their way. [Newman] is one of the founders and leaders of the field and has updated the book with cutting-edge topics." -- Santa Fe Institute"This is the definitive book on network science, by one of its most brilliant researchers and graceful expositors. The second edition of Mark Newman's Networks is clear, comprehensive, and fascinating." -- Steven Strogatz, Department of Mathematics, Cornell University, USA"This is an excellent textbook by one of the preeminent scholars in the study of networks. I draw heavily from it when teaching my undergraduate course on networks, and I am very pleased to see a new edition of the book. Newman's clear exposition shines through in this textbook." -- Mason Porter, Department of Mathematics, UCLA, USA"An extraordinarily comprehensive and clear exposition of network science from one of the giants in the field. Newman succeeds in making accessible to a broad readership even the most technical content." -- Santo Fortunato, School of Informatics and Computing, Indiana UniversityReviews from the Previous Edition"Networks accomplishes two key goals: It provides a comprehensive introduction and presents the theoretic backbone of network science. [] The book is balanced in its presentation of theoretical concepts, computational techniques, and algorithms. The level of difficulty increases which each chapter [which] makes the book particularly valuable to physics students who wish to acquire a solid foundation based on their knowledge of basic linear algebra, calculus, and differential equations." -- Physics Today"Newman has written a wonderful book that gives an extensive overview of the broadly interdisciplinary network-related developments that have occured in many fields, including mathematics, physics, computer science, biology, and the social sciences ... Overall, a valuable resource covering a wide-randing field." -- Choice"Likely to become the standard introductory textbook for the study of networks [...] Overall, this is an excellent textbook for the growing field of networks. It is cleverly written and suitable as both an introduction for undergraduate students (particularly Parts 1 to 3) and as a roadmap for graduate students. [...] Being highly self-contained, computer scientists and professionals from other fields can also use the book - in fact, the author himself is a physicist. In short, this book is a delight for the inquisitive mind." -- Computing Reviews"This book brings together, for the first time, the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong connections between work in different subject areas." -- CERN Courier, "This is the definitive book on network science, by one of its most brilliant researchers and graceful expositors. The second edition of Mark Newman's Networks is clear, comprehensive, and fascinating." -- Steven Strogatz, Department of Mathematics, Cornell University, USA "This is an excellent textbook by one of the preeminent scholars in the study of networks. I draw heavily from it when teaching my undergraduate course on networks, and I am very pleased to see a new edition of the book. Newman's clear exposition shines through in this textbook." -- Mason Porter, Department of Mathematics, UCLA, USA "An extraordinarily comprehensive and clear exposition of network science from one of the giants in the field. Newman succeeds in making accessible to a broad readership even the most technical content." -- Santo Fortunato, School of Informatics and Computing, Indiana University, "This is the definitive book on networks, friendly enough for anyone to read and serious enough for researchers to find their way. [Newman] is one of the founders and leaders of the field and has updated the book with cutting-edge topics." -- Santa Fe Institute "This is the definitive book on network science, by one of its most brilliant researchers and graceful expositors. The second edition of Mark Newman's Networks is clear, comprehensive, and fascinating." -- Steven Strogatz, Department of Mathematics, Cornell University, USA "This is an excellent textbook by one of the preeminent scholars in the study of networks. I draw heavily from it when teaching my undergraduate course on networks, and I am very pleased to see a new edition of the book. Newman's clear exposition shines through in this textbook." -- Mason Porter, Department of Mathematics, UCLA, USA "An extraordinarily comprehensive and clear exposition of network science from one of the giants in the field. Newman succeeds in making accessible to a broad readership even the most technical content." -- Santo Fortunato, School of Informatics and Computing, Indiana University Reviews from the Previous Edition "Networks accomplishes two key goals: It provides a comprehensive introduction and presents the theoretic backbone of network science. [] The book is balanced in its presentation of theoretical concepts, computational techniques, and algorithms. The level of difficulty increases which each chapter [which] makes the book particularly valuable to physics students who wish to acquire a solid foundation based on their knowledge of basic linear algebra, calculus, and differential equations." -- Physics Today "Newman has written a wonderful book that gives an extensive overview of the broadly interdisciplinary network-related developments that have occured in many fields, including mathematics, physics, computer science, biology, and the social sciences ... Overall, a valuable resource covering a wide-randing field." -- Choice "Likely to become the standard introductory textbook for the study of networks [...] Overall, this is an excellent textbook for the growing field of networks. It is cleverly written and suitable as both an introduction for undergraduate students (particularly Parts 1 to 3) and as a roadmap for graduate students. [...] Being highly self-contained, computer scientists and professionals from other fields can also use the book - in fact, the author himself is a physicist. In short, this book is a delight for the inquisitive mind." -- Computing Reviews "This book brings together, for the first time, the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong connections between work in different subject areas." -- CERN Courier, "This is the definitive book on network science, by one of its most brilliant researchers and graceful expositors. The second edition of Mark Newman's Networks is clear, comprehensive, and fascinating." -- Steven Strogatz, Department of Mathematics, Cornell University, USA "This is an excellent textbook by one of the preeminent scholars in the study of networks. I draw heavily from it when teaching my undergraduate course on networks, and I am very pleased to see a new edition of the book. Newman's clear exposition shines through in this textbook." -- Mason Porter, Department of Mathematics, UCLA, USA "An extraordinarily comprehensive and clear exposition of network science from one of the giants in the field. Newman succeeds in making accessible to a broad readership even the most technical content." -- Santo Fortunato, School of Informatics and Computing, Indiana University Reviews from the Previous Edition "Networks accomplishes two key goals: It provides a comprehensive introduction and presents the theoretic backbone of network science. [] The book is balanced in its presentation of theoretical concepts, computational techniques, and algorithms. The level of difficulty increases which each chapter [which] makes the book particularly valuable to physics students who wish to acquire a solid foundation based on their knowledge of basic linear algebra, calculus, and differential equations." -- Physics Today "Newman has written a wonderful book that gives an extensive overview of the broadly interdisciplinary network-related developments that have occured in many fields, including mathematics, physics, computer science, biology, and the social sciences ... Overall, a valuable resource covering a wide-randing field." -- Choice "Likely to become the standard introductory textbook for the study of networks [...] Overall, this is an excellent textbook for the growing field of networks. It is cleverly written and suitable as both an introduction for undergraduate students (particularly Parts 1 to 3) and as a roadmap for graduate students. [...] Being highly self-contained, computer scientists and professionals from other fields can also use the book - in fact, the author himself is a physicist. In short, this book is a delight for the inquisitive mind." -- Computing Reviews "This book brings together, for the first time, the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong connections between work in different subject areas." -- CERN Courier, This book brings together, for the first time, the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong connections between work in different subject areas.
Table of Content
1: IntroductionPart I: The empirical study of networks2: Technological networks3: Networks of information4: Social networks5: Biological networksPart II: Fundamentals of network theory6: Mathematics of networks7: Measures and metrics8: Computer algorithms9: Network statistics and measurement error10: The structure of real-world networksPart III: Network models11: Random graphs12: The configuration model13: Models of network formationPart IV: Applications14: Community structure15: Percolation and network resilience16: Epidemics on networks17: Dynamical systems on networks18: Network search
Copyright Date
2018
Illustrated
Yes
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