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Networks: An Introduction [Hardcover]

Mark Newman
3.9 out of 5 stars  See all reviews (16 customer reviews)

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Book Description

May 20, 2010 0199206651 978-0199206650 1
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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Editorial Reviews


"[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.

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: 9.7 x 7.5 x 1.7 inches
  • Shipping Weight: 4.1 pounds (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (16 customer reviews)
  • Amazon Best Sellers Rank: #195,537 in Books (See Top 100 in Books)

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Customer Reviews

3.9 out of 5 stars
3.9 out of 5 stars
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Most Helpful Customer 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
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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16 of 17 people found the following review helpful
5.0 out of 5 stars Accessible, relevant and comprehensive introduction 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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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.
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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8 of 10 people found the following review helpful
2.0 out of 5 stars poor kindle version June 11, 2012
By wdg
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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2 of 2 people found the following review helpful
5.0 out of 5 stars Invaluable book 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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1 of 1 people found the following review helpful
5.0 out of 5 stars The best book about netwotks 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
5.0 out of 5 stars fantastic 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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5.0 out of 5 stars reference for my desk 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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Most Recent Customer Reviews
3.0 out of 5 stars Decent, but not the best text I've read.
The explanations of network concepts were basic and easy to understand. This was a good introduction to the ideas. Read more
Published 4 months ago by LW
1.0 out of 5 stars bookbinding is VERY poor
The content of this book is good, but the bookbinding is VERY poor. Just after several chapter reading the biding is almost damaged... Read more
Published 9 months ago by Jeff
5.0 out of 5 stars Broad, deep and a joy to read.
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... Read more
Published 9 months ago by Francois Vanderseypen
5.0 out of 5 stars A Learning Experience
A relatively easy book to read given some college level math background such as calculus and matrix algebra. Read more
Published 10 months ago by David Gould
4.0 out of 5 stars An important book in networks, but if you are unfamiliar with the...
I purchased this book for a network graduate class I was taking. While this is one of the seminal books on the subject, it is complicated and often does not explain the math very... Read more
Published 12 months ago by ValtheRed
5.0 out of 5 stars THE best gateway to the science of Networks
This book and the historical collection of papers Prof. Newman coedited with Dr. Barabasi and Dr. Watts (The Structure and Dynamics of Networks: (Princeton Studies in... Read more
Published 20 months ago by Adarsh Jose
1.0 out of 5 stars Not an introduction if............
If you haven't studied linear algebra as part of a BSc in mathematics then you will get nothing out of this book beyond page 107.
Published on March 15, 2012 by P
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