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Networks: An Introduction 1st Edition

4.2 out of 5 stars 21 customer reviews
ISBN-13: 978-0199206650
ISBN-10: 0199206651
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Editorial Reviews

Review


"[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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Product Details

  • Hardcover: 720 pages
  • Publisher: Oxford University Press; 1 edition (May 20, 2010)
  • Language: English
  • ISBN-10: 0199206651
  • ISBN-13: 978-0199206650
  • Product Dimensions: 9.8 x 1.7 x 7.6 inches
  • Shipping Weight: 4.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (21 customer reviews)
  • Amazon Best Sellers Rank: #47,011 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

Format: Hardcover
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.
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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.
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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.
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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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Format: Hardcover Verified Purchase
If you are a layman of network study and want to learn about it in a quantitative way, this is a wonderful book to start from. If you do work on networks, you probably already have this book, for it serves as an excellent reference too. This book gives a comprehensive and rigorous introduction to the core concepts of networks (vertex, edge, degree, centrality, component, path, etc.) and classical algorithms to do computations. Prof. Newman's writing style is extremely clear. There are no logic gaps between sentences. Whenever you find something unclear or confusing during reading, you will find an explanation in the following paragraphs.
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By Sabes on February 8, 2012
Format: Hardcover Verified Purchase
Great reference with clearly developed examples.
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.
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Format: Hardcover Verified Purchase
Excellent introduction to graph theory from an expert in the field. Although I have access to this book at the library, I wanted a hard copy to keep as a reference on my desk because I <3 it.

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.
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Format: Kindle Edition Verified Purchase
The explanations of network concepts were basic and easy to understand. This was a good introduction to the ideas. Whether it's better than what you could get with a brief literature review, I'm not sure, but they're all assembled together and that's worth quite a bit. But this book bit off a bit more than it could chew. A five chapter section is dedicated to applications, and another section is dedicated to methods, but it's neither a great survey nor methods text.

Network analysis spans a wide range of fields, so this must have been an especially difficult book to write. But I felt that it overgeneralized and mis-characterize a bit too much in the occasional area where I was familiar, which made me hesitant to trust it as an accurate representation of areas for which I was less familiar. If they had just been illustrative examples I wouldn't have let it affect the review, but there were five chapters dedicated to applications on different fields, and the introduction recommended using those chapters for introductory classes. Since I'm not confident they provide accurate representations of network analysis in those fields, I knocked a star.

I knocked a second star because it's not the greatest introduction to the math. The math is relatively simple, but since it is a text book, you expect to be walked through it a bit better, maybe provide exercises or examples. The book is trying to be everything for everyone and ends up not managing to be the best at anything. It isn't a great methods text, it doesn't walk you through the math and how to apply it, and it isn't a compelling overview of the applications. It ends up being half-way for both. So, decent, but not the best. If anyone has any alternative recommendations, please post in the comments.
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