- Tapa dura: 784 páginas
- Editor: OUP Oxford (25 de marzo de 2010)
- Idioma: Inglés
- ISBN-10: 0199206651
- ISBN-13: 978-0199206650
- Valoración media de los clientes: 4 opiniones de clientes
Clasificación en los más vendidos de Amazon:
nº44.639 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
- n.° 41 en Libros en idiomas extranjeros > Ciencias, tecnología y medicina > Física > Materiales y estados de la materia
- n.° 52 en Libros en idiomas extranjeros > Ciencias, tecnología y medicina > Física > Física estadística y matemática
- n.° 467 en Libros en idiomas extranjeros > Ciencias, tecnología y medicina > Matemáticas
- Ver el Índice completo
Compara Precios en Amazon
+ Envío GRATIS
Networks: An Introduction (Inglés) Tapa dura – 25 mar 2010
|Nuevo desde||Usado desde|
Comprados juntos habitualmente
Los clientes que compraron este producto también compraron
Descripción del producto
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 Courier)
Reseña del editor
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 networks.
No es necesario ningún dispositivo Kindle. Descárgate una de las apps de Kindle gratuitas para comenzar a leer libros Kindle en tu smartphone, tablet u ordenador.
Obtén la app gratuita:
Detalles del producto
Si eres el vendedor de este producto, ¿te gustaría sugerir ciertos cambios a través del servicio de atención al vendedor?
Opiniones de clientes
Principales opiniones de clientes
Ha surgido un problema al filtrar las opiniones justo en este momento. Vuelva a intentarlo en otro momento.
Newman's book consists of five parts of increasing complexity, from an informative description of different types of networks to the study of dynamic processes on networks. His writing style is engaging, witty, clear, and instructive (and mathematically rigorous when needed).
Being highly self-contained, computer scientists and professionals from other fields can benefit from it.
PS: Several recent textbooks have tried to organize what is currently known about networks, their structure, and behavior, from different points of view (e.g. Easley & Kleinberg's Networks, Crowds, and Markets). Newman adds a new perspective to this collection of textbooks - that of a physicist with a keen eye on networks.
Opiniones de clientes más útiles en Amazon.com
The book demonstrates (1) how systems can be modeled as networks and (2) how graph theory can be applied to gain insight on properties and behavior of these systems. The book opened my eyes some very interesting possibilities of how these tools can be applied, which is extremely valuable.
The layout made it enjoyable to read.
The math is very digestable for anyone at a slightly post Calc level.
(although clearly Calc is not needed)
Combine this with a bit of "R" code and you can actually build projects in the area.