Networks: An Introduction

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!

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.

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.

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.

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.]

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.

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.

Ok