Networks : An Introduction

4.15 (103 ratings by Goodreads)
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The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of 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 a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. 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 interconnections between work in different areas.Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on more

Product details

  • Hardback | 784 pages
  • 198 x 248 x 44mm | 1,859.72g
  • Oxford University Press
  • Oxford, United Kingdom
  • English
  • 120 line illustrations, 4 colour plates
  • 0199206651
  • 9780199206650
  • 85,144

About Mark Newman

Mark Newman received a D.Phil. in physics from the University of Oxford in 1991 and conducted postdoctoral research at Cornell University before joining the staff of the Santa Fe Institute, a think-tank in New Mexico devoted to the study of complex systems. In 2002 he left Santa Fe for the University of Michigan, where he is currently Paul Dirac Collegiate Professor of Physics and a professor in the university's Center for the Study of Complex more

Review quote

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, 2011 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. Computing Reviews 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 Couriershow more

Table of contents

1. Introduction ; 2. Technological Networks ; 3. Social Networks ; 4. Information Networks ; 5. Biological Networks ; 6. Mathematics of Networks ; 7. Measures and Metrics ; 8. The Large-scale Structure of Networks ; 9. Basic Concepts of Algorithms ; 10. Fundamental Network Algorithms ; 11. Matrix Algorithms and Graph Partitioning ; 12. Random Graphs ; 13. Generalized Random Graphs ; 14. Models of Network Formation ; 15. Other Network Models ; 16. Percolation and Network Resilience ; 17. Epidemics on Networks ; 18. Dynamical Systems on Networks ; 19. Network Search ; References ; Indexshow more

Rating details

103 ratings
4.15 out of 5 stars
5 44% (45)
4 31% (32)
3 23% (24)
2 1% (1)
1 1% (1)
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