First, I like this book and gave it 5 stars.. But it is not the best book on graph theory, though it is a great intro.

And really that is all the book claims to be: an intro designed to really excite the student about graph theory.

Where this book shines is the presenation of a wide variety of applications, examples, and exercises. Not only the classic examples that every book uses, but alot of great applied problems, and a ton of them.

I do agree with another review that the book does seem to go off track a bit and enter the land of discrete math. Yes, there are a number of graphy theory books that cover combinatorics/discrete concepts as well, but they mention that in the title. And what it does seem to cover is very topical and really does not seem to fit.

However, this is a great intro to graph theory, and it does have a mix of proof/theorem without losing its approachable appeal to students starting out.

Overall it is a great Dover book.

This solid book covers all of the basics and provides enough theorems and lemmas to satisfy the theoretical foundations of this topic. I would call this book a good preparatory work for students in a masters program prior to taking graph theory. The overview that it provides is both easy to understand and approachable to many levels including undergrad. Also, if you are a programmer, it is good for theories of A* pathing and networking.

I work with bioinformatic systems and wanted a book that would cover graph theory. This book focuses mostly on algorithms and pure mathematics of graph systems, rather than things like shortest-path and other less number-driven algorithms. However it works very well as a reference book, each chapter title is what is covered.

It also reads like an old fashioned school textbook, with problems to work on. Some are useful and many are redundant. However for a quick look reference book it works very well. I purchased the kindle version.

This book is an excellent introduction to graph theory. Many examples on how graph theory is used to solve problems in the real world. The author's writing style is clear and easy to digest. Armed with an understanding of graph theory, it become easier to comprehend the bigger picture of problems that can be modeled using graphs.

This book is great for a course in topics in graph theory. It gives some theory followed by applications. It requires some mathematical maturity since some of the exercises require proofs. I would recommend this book for junior and senior undergraduates, and perhaps some graduate students who need graph theory.

I found this book to be well written and very interesting because it presents information coupled with immediate problems and suggested solutions (to selected problems) that prove to be quite stimulating.

I learned a lot from this text. It's very technical but the practical application chapters brought it all together for me. I would recommend this to anyone interested in graph theory and its applications.

I got the Kindle edition of this book. It was nice to use because I could highlight and easily find certain things. This book was interesting and some of the problems were actually fun to solve!

En contenido llega a faltar, realmente aborda de manera muy superficial algunos temas, pero la manera en la que los introduce es el verdadero valor de este libro, muy útil para poder sacar problemas didácticos de clase.