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Networks: An Introduction [Hardcover]

Mark Newman
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

April 18 2010 0199206651 978-0199206650
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.

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"[Networks] distinguishes itself from other network texts by its attention to the breadth of both the areas to which networks have been applied and the techniques for reasoning about them. It is likely to become the standard introductory textbook for the study of networks, and it is valuable as a desk-side reference for anyone who works with network problems." -- H. Van Dyke Parunak, Computing Reviews

"An excellent textbook for the growing field of networks. It is cleverly written and suitable as both an introduction for undergraduate students and as a roadmap for graduate students. Furthermore, its more than 300 bibliographic references will guide readers who are interested in particular topics. 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." -- Fernando Berzal, Computing Reviews

About the Author

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 Systems.

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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Most helpful customer reviews
0 of 1 people found the following review helpful
4.0 out of 5 stars the shipment Nov. 25 2010
By goli
the book was great and it was shipped in a reasonable time but the packaging was not strong and the hard cover of the book was damaged which is not good when you are paying for a new hard cover book.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.0 out of 5 stars  17 reviews
43 of 47 people found the following review helpful
5.0 out of 5 stars Comprehensive and readable introduction July 20 2010
By Zac - Published on Amazon.com
The study of networks received much interest in recent years. This book provides an easy to read introduction covering many important topics. Hence its primary audience is probably for undergraduate students however it can serve also as reference.

In particular I like that the book focuses on many recent methods, e.g., community structures or complex network models, without forgetting past concept that have been developed either in graph theory or come from interdisciplinary research for instance from studying social networks. Also, it discusses network algorithms because only by means of these methods you can study the introduced concepts and methods numerically.

Mathematicians interested in graph theory will probably not like this book because it is not written in a typical math-style. In addition, the topic of the book is on network theory which is not exactly graph theory but comprises wider concepts (theoretically and practically).

Besides mathematician, probably everyone will like it.

I want to remark that this book is not merely a collection of published papers, but it is written as a textbook. This why the individual parts fit well to each other.
16 of 17 people found the following review helpful
5.0 out of 5 stars Accessible, relevant and comprehensive introduction Nov. 19 2010
By C. Carroll - Published on Amazon.com
Format:Hardcover|Verified Purchase
I use network analysis in ecological research. I have found most reference books either highly technical or so simplistic as to be of of little use. This new book is the exception. It is quite well-written, and covers much recent applied research that uses network theory, as well as the analytical and computational background behind these applications. As well as being a good textbook, it is a great introduction to the topic for quantitative researchers in other fields that wish to apply network analysis to their work, and because it is up-to-date, I will continue to use it as a reference in the future.
12 of 15 people found the following review helpful
2.0 out of 5 stars Excellent book, unreadable formulas in Kindle March 3 2013
By A.G. - Published on Amazon.com
Format:Kindle Edition
The book is **excellent** but I regret I purchased the kindle version.
The mathematical expressions are too small to be readable in Kindle.
I hope that Amazon or the editorial will solve this issue !
8 of 10 people found the following review helpful
2.0 out of 5 stars poor kindle version June 11 2012
By wdg - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
The content of the book is excellent and is worth 5 stars, but the kindle version is quite poor. For some reason, in the kindle version, the formulas are so small that they are barely readable. How disappointing! The publisher should seriously consider adjusting the formulas.

By the way, the index does not work: the phrases in the index sections are not links and they don't come with page number. They are just words.
2 of 2 people found the following review helpful
5.0 out of 5 stars Invaluable book May 11 2012
By Roy Marsten - Published on Amazon.com
Format:Hardcover|Verified Purchase
Networks by M. E. J. Newman is just invaluable for anyone working in the field of network related phenomena. I have already read through Chapter 11, and I have found both improvements in algorithms I had already implemented, and new methods that I didn't know about at all. I am only sorry that it took two years for me to discover this book!
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