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Networks: An Introduction Hardcover – May 20, 2010

ISBN-13: 978-0199206650 ISBN-10: 0199206651 Edition: 1st

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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: 4.1 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Best Sellers Rank: #200,426 in Books (See Top 100 in Books)

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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Customer Reviews

Excellent introduction to graph theory from an expert in the field.
katie begany
The content of the book is excellent and is worth 5 stars, but the kindle version is quite poor.
wdg
This book provides an easy to read introduction covering many important topics.
Zac

Most Helpful Customer Reviews

45 of 49 people found the following review helpful By Zac on July 20, 2010
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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17 of 18 people found the following review helpful By C. Carroll on November 19, 2010
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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3 of 3 people found the following review helpful By Roy Marsten on May 11, 2012
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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14 of 19 people found the following review helpful By A.G. on March 3, 2013
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 !
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2 of 2 people found the following review helpful By c_eusebi 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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2 of 2 people found the following review helpful By Ilya Gertsbakh on September 29, 2012
Format: Hardcover Verified Purchase
This is an excellent book, extremely well-written. Conatins a lot of information about the networks, their analysis, structure, and algorithms for their investigations. Gives a well-balanced theory of the analytic and probabilistic methods to study and analyse the networks.
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1 of 1 people found the following review helpful By Francois Vanderseypen on October 6, 2013
Format: Hardcover Verified Purchase
The book really is an excellent guide to the vast domain of graphs and diagramming. It covers many topics and applications while remaining very readable despite the fact that it discusses various technical topics. I'd say it's an excellent bridge between the domain from a mathematical point of view and from an applicative angle.

If you need a gateway to this domain and a have an undergraduate understanding of maths then this book is for you.

[Things I wished would have been highlighted; the relation to knots and an introduction to graph layout algorithms.]
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1 of 1 people found the following review helpful By katie begany on April 7, 2014
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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