Networks: An Introduction
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Review
Networks accomplishes two key goals: It provides a comprehensive introduction and presents the theoretic backbone of network science. [] The book is balanced in its presentation of theoretical concepts, computational techniques, and algorithms. The level of difficulty increases which each chapter [which] makes the book particularly valuable to physics students who wish to acquire a solid foundation based on their knowledge of basic linear algebra, calculus, and differential equations. (Physics Today, 2011 )
Newman has written a wonderful book that gives an extensive overview of the broadly interdisciplinary network-related developments that have occured in many fields, including mathematics, physics, computer science, biology, and the social sciences ... Overall, a valuable resource covering a wide-randing field. (Choice )
Likely to become the standard introductory textbook for the study of networks. (Computing Reviews )
Overall, this is an excellent textbook for the growing field of networks. It is cleverly written and suitable as both an introduction for undergraduate students (particularly Parts 1 to 3) and as a roadmap for graduate students. [] 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. (Computing Reviews )
Newman has written a wonderful book that gives an extensive overview of the broadly interdisciplinary network-related developments that have occured in many fields, including mathematics, physics, computer science, biology, and the social sciences ... Overall, a valuable resource covering a wide-randing field. (Choice )
Likely to become the standard introductory textbook for the study of networks. (Computing Reviews )
Overall, this is an excellent textbook for the growing field of networks. It is cleverly written and suitable as both an introduction for undergraduate students (particularly Parts 1 to 3) and as a roadmap for graduate students. [] 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. (Computing Reviews )
Product Description
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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Most Helpful Customer Reviews
16 of 16 people found the following review helpful
Format:Hardcover
This book is comprehensive, well written, and accessible. As a biochemist studying complexity and systems biology over the last 6 months, I found it frustrating that there were no decent textbooks on networks. All of Newman's papers are excellent and must reads, but this book takes everything and puts it into once place (there are over 300 citations, so you can read the primary literature referenced if you want). There are sections on different types of networks (social, electrical, biological, etc.), network theory, graph metrics, and then more applied sections on the best computational methodologies to adapt, the best programs to use, models, and simulating events on networks. This is very helpful as most papers dealing with applied networks don't document what software or programming methodologies they use.
I should point out that you need an A Level Maths (or a good grasp of maths if you're willing to learn as you read) to understand the metrics and measures in this book. Some are simple, but some are quite complicated. If you're needing to go into networks then I highly recommend you pick this up as a primer, irrespective of your background. It's very well written and doesn't plonk you right at the deep end. At 700 pages, it isn't thin, but the size of each page is smaller than A4 paper, so it isn't massive.
If you're wondering whether you should buy this or Newman's older book on the structure and dynamics of networks, get this. The older book is just a collection of papers with commentary - a giant literature review. (not that it's bad, but that book does put you in at the deep end)
I should point out that you need an A Level Maths (or a good grasp of maths if you're willing to learn as you read) to understand the metrics and measures in this book. Some are simple, but some are quite complicated. If you're needing to go into networks then I highly recommend you pick this up as a primer, irrespective of your background. It's very well written and doesn't plonk you right at the deep end. At 700 pages, it isn't thin, but the size of each page is smaller than A4 paper, so it isn't massive.
If you're wondering whether you should buy this or Newman's older book on the structure and dynamics of networks, get this. The older book is just a collection of papers with commentary - a giant literature review. (not that it's bad, but that book does put you in at the deep end)
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
7 reviews
33 of 37 people found the following review helpful
Comprehensive and readable introduction
20 July 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.
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.
13 of 13 people found the following review helpful
Accessible, relevant and comprehensive introduction
19 Nov 2010
Format:Hardcover|Amazon 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 13 people found the following review helpful
A good Book on Real-World Networks - Poorly published
12 July 2011
Format:Hardcover|Amazon Verified Purchase
If you have an interest in understanding the behaviours of real-world networks (such as the internet) then you will get a lot out of this well written book. Like the other authors I commend the authors approach in providing the mathematics that are needed so that you can easily apply the findings. In this way the book becomes a very useful reference. And a reference it is, it is over 750 pages in length crammed with very interesting material and there is a good balance between network structure and network resilience, although as the author states, we probably know more about network structures than how they behave with respect to resiliance.
I especially like the comparison method the author uses in comparing the behaviours of similar networks whether they be information networks, citation networks and indeed immunisation networks.
So why 3 stars rather than 5? Well it has to be the method of binding the book. For some inexplicable reason the publishers have laid the book out with substantial margins on the outer edges of the pages, more than 50mm ie almost 30% of the books is outter margin - which is good for notes and side text, so I don't have a problem with that, but there is absolutely no inner margin to speak of, so a with a large book like this the words in the book's centre, vanish into the depths of a large crevasse as the book sits on your desk. If you have a side lamp, then the as no light can enter these crevasses where there is complete darkness - so you find yourself continually pushing the pages down or adjusting the angle of the book to glimpse those lost words. It is nigh on impossible to read the book without needing to have your index finger pressed firmly into the centre of the book in order to keep it flat - this is such an unnecessarily distraction from what we should be doing - and that is reading a well written book - in total comfort! One would have thought Oxford University Press would have had enough years to learn this!
Obviously, this will not be a problem with the Kindle version!
I especially like the comparison method the author uses in comparing the behaviours of similar networks whether they be information networks, citation networks and indeed immunisation networks.
So why 3 stars rather than 5? Well it has to be the method of binding the book. For some inexplicable reason the publishers have laid the book out with substantial margins on the outer edges of the pages, more than 50mm ie almost 30% of the books is outter margin - which is good for notes and side text, so I don't have a problem with that, but there is absolutely no inner margin to speak of, so a with a large book like this the words in the book's centre, vanish into the depths of a large crevasse as the book sits on your desk. If you have a side lamp, then the as no light can enter these crevasses where there is complete darkness - so you find yourself continually pushing the pages down or adjusting the angle of the book to glimpse those lost words. It is nigh on impossible to read the book without needing to have your index finger pressed firmly into the centre of the book in order to keep it flat - this is such an unnecessarily distraction from what we should be doing - and that is reading a well written book - in total comfort! One would have thought Oxford University Press would have had enough years to learn this!
Obviously, this will not be a problem with the Kindle version!
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