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M. E. J. Newman
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Networks: An Introduction 1st Edition

by Mark Newman (Author)
4.3 4.3 out of 5 stars 50 ratings
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Networks
Networks
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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.

To request a copy of the Solutions Manual, visit: http://global.oup.com/uk/academic/physics/admin/solutions
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  1. ISBN-10
    9780199206650
  2. ISBN-13
    978-0199206650
  3. Edition
    1st
  4. Publisher
    Oxford University Press
  5. Publication date
    May 20, 2010
  6. Language
    English
  7. Dimensions
    7.5 x 1.75 x 9.75 inches
  8. Print length
    784 pages
  9. See all details
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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

Book Description

A comprehensive picture of the scientific study of networks through advances in mathematics, physics, computer science, biology and social network analysis

Product details

  • ASIN ‏ : ‎ 0199206651
  • Publisher ‏ : ‎ Oxford University Press; 1st edition (May 20, 2010)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 784 pages
  • ISBN-10 ‏ : ‎ 9780199206650
  • ISBN-13 ‏ : ‎ 978-0199206650
  • Item Weight ‏ : ‎ 4.02 pounds
  • Dimensions ‏ : ‎ 7.5 x 1.75 x 9.75 inches
  • Customer Reviews:
    4.3 4.3 out of 5 stars 50 ratings

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M. E. J. Newman

M. E. J. Newman

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Customer reviews

4.3 out of 5 stars
4.3 out of 5
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Top reviews from the United States

kevinvon
5.0 out of 5 stars wonderful book on networks
Reviewed in the United States on April 2, 2015
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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.
9 people found this helpful
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Chunhyok Chong
5.0 out of 5 stars Great Introduction to the Networks
Reviewed in the United States on March 5, 2011
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It's a great guide to the math for understanding the networks and probably the first book which covers from the basic stuff to the profound analysis, whereas the other books on networks handle very complex math and some pure physical models.

But the each chapter of this book doesn't delve into the deep side of the topic. I think of that this book is written by the author's students.
And the bookbinding by Oxford press is very disappointed for me.

Although those, the content of this book is very useful for person who is trying to step into the networks technology.

GREAT!
5 people found this helpful
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Amazon Customer
4.0 out of 5 stars An important book in networks, but if you are unfamiliar with the subject beware
Reviewed in the United States on June 23, 2013
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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 well. It also covers a wide range of networks, from social networks to biological networks. This makes it good for showing how networks can be used, but does not delve deep enough into any one of them to make you feel really comfortable with any one type.
3 people found this helpful
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C. Carroll
5.0 out of 5 stars Accessible, relevant and comprehensive introduction
Reviewed in the United States on November 19, 2010
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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.
23 people found this helpful
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Francois Vanderseypen
5.0 out of 5 stars Broad, deep and a joy to read.
Reviewed in the United States on October 6, 2013
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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.]
4 people found this helpful
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Arnob
5.0 out of 5 stars A great introduction to Network Science
Reviewed in the United States on March 23, 2018
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A great introduction to Network Science. I found the later chapters on dynamics in networks and computer algorithms for networks to be invaluable. Many books (especially in social sciences) are content to use the language of networks without exploring the mathematics behind it. This book does not shy away from the math, but keeps it understandable.
One person found this helpful
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LW
3.0 out of 5 stars Decent, but not the best text I've read.
Reviewed in the United States on February 23, 2014
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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.
11 people found this helpful
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wdg
2.0 out of 5 stars poor kindle version
Reviewed in the United States on June 11, 2012
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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.
17 people found this helpful
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Top reviews from other countries

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loveneet kumar
5.0 out of 5 stars Great
Reviewed in India on September 16, 2018
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Wonderful book...
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Costa
5.0 out of 5 stars Che dire
Reviewed in Italy on January 29, 2018
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Una bibbia per la teoria della reti. Insieme al Barabasi è un must. È forse più metodico e rigoroso, come testo introduttivo non sbaglia una virgola :)
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Sergi
5.0 out of 5 stars Sehr gut
Reviewed in Germany on April 2, 2013
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Hervorragende Einführung. Sehr gut geschrieben, deutlich strukturiert und verständlich. Hilfreiche Darstellungen, passendes Format, um das Lernen zu vereinfachen. Mark Newman ist eine Kapazität in der Materie, versucht aber nie zu beeindrucken, sondern stets die Materie beizubringen - und dann verweist er auf die richtige Literatur. Das Beibringen gelingt ihm auf eine Art und Weise, die täuschend mühelos wirkt. Mit dieser sehr umfangreichen und multidisziplinären Thematik ist äußerst schwer alle Fachrichtungen gleich zu befriedigen. Zum Beispiel hätte ich mir mehr Seiten zu direkten und assoziativen Netzwerken und zu Hubs gewünscht, denn all dies kommt im Finanzsystem sehr oft vor. Doch finde ich, dass Mark Newman viel Rücksicht auf eine breite Palette von Disziplinen gehabt, und nicht nur auf die relevantesten Aspekte fürs Fach Physik - sein Fach - fokussiert hat. Eine kleine Bemerkung zum Schluss: Das Buch hätte etwas günstiger sein können - aber den Preis nehme ich gerne in Kauf, wenn ich bedenke, wie viel Spaß das Buch mir schon bereitet hat!
One person found this helpful
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Cesar Alfonso Moreno Pascual
5.0 out of 5 stars el libro de redes
Reviewed in Spain on January 21, 2013
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hay otros como el de crowds and markets pero este, si bine es más duro, es más científico. Con él se puede tirar del hilo para saber bastante. hace falta cierto nivel matemático
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O.T.
5.0 out of 5 stars The best book to start with networks and beyond
Reviewed in the United Kingdom on July 1, 2012
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Mark Newman's "Networks: An Introduction" is the single book that one needs in order to start his or her (postgraduate) research on networks. The book explains thoroughly and from first (mathematical) principles all the aspects of networks that a researcher needs to know: from structural properties and computer algorithms to network generation models and dynamical processes on networks. After reading this book, all the vast bibliography on networks will become accessible to the reader. This book is not an easy read, and requires a good level of mathematical understanding, but it is certainly one of the most rewarding books I have ever read. Finally, to put this review in context, at the time of writing I am a first-year PhD student in Computer Science.
7 people found this helpful
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