- Series: Princeton Studies in Complexity
- Paperback: 592 pages
- Publisher: Princeton University Press; 1 edition (May 7, 2006)
- Language: English
- ISBN-10: 0691113572
- ISBN-13: 978-0691113579
- Product Dimensions: 8.4 x 1.1 x 11 inches
- Shipping Weight: 3 pounds (View shipping rates and policies)
- Average Customer Review: 3.7 out of 5 stars See all reviews (7 customer reviews)
- Amazon Best Sellers Rank: #1,140,993 in Books (See Top 100 in Books)
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The Structure and Dynamics of Networks (Princeton Studies in Complexity) 1st Edition
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"The Structure and Dynamics of Networks performs an important service by bringing together in one volume a number of papers on network theory, and placing them in their historical context. . . . [T]he volume will serve as an introduction to the topic for the novice and a resource for the more experienced researcher."--Sarah Boslaugh, MAA Reviews
"Everyone with a serious interest in the networks studies will want to read the many fine papers this major collection contains. It is to be warmly recommended as a volume deserving to become compulsory reading for all scholars (and students) interested in the field of networks."--Current Engineering Practice
"Each and every one of the featured papers represents a fundamental breakthrough, forming altogether a highly coherent body of knowledge. Professors Newman, Barabási, and Watts succeed in their selection, and at the same time add an extra value to the book with enlightening and interesting discussions. I strongly recommend this book to researchers and students of the field and, in general, to anyone who wants to enter or learn more about this exciting field of research."--Marián Boguñá, Journal of Statistical Physics
"The behavioural scientist interested in the wider picture of how their work fits into the world of networks is recommended this book as a first port of call for classic citations."--Sean A. Rands, Applied Animal Behavior Science
From the Back Cover
"This excellent collection of papers will provide great one-stop shopping to those working in the evolving world of network research. It may very well become a standard resource for the growing number of courses on networks now beginning to pervade curricula. Indeed, a current difficulty in teaching such a course is that there are no good texts, and a quick look around the Web reveals that almost all these courses are taught using research papers, many of which appear in this collection."--Dan Rockmore, Dartmouth College
"I read this anthology with great interest. The editors took pains to locate (and even translate) a significant number of papers predating the recent surge of interest in the science of networks, and they do a fine job of clarifying what exactly is new (and what is not so new) in the modern approach as reflected in the vast literature on the subject. The introduction to each section nicely summarizes the main findings of the featured articles."--Sergei Maslov, Brookhaven National Laboratory
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Top customer reviews
1) It is a collection of papers.
2) Some of those papers are fairly technical and may be a little daunting for beginners.
While both of these criticisms are accurate, they don't stop the book from being an excellent resource.
While it is a collection of papers, it is a very well-chosen one which includes some of the most important and influential papers in the field, and covers a wide array of subjects within it. Furthermore, each section has an intro written by the authors, which summarizes the works in the section in a fairly nontechnical manner.
This book saved me from days of basic research and frustration in trying to locate full-text articles, and when I was done with it I felt that I had a fairly good working knowledge of the field. I imagine it will be fairly handy for future reference as well.
As for (2), this book was my introduction to network analysis, and while I admit I was unable to read every paper, I was able to understand the main point of almost all of them. Caveat: I am a mathematician. However, as I said, I was previously unfamiliar to the field--and my background gave me little advantage considering I didn't care to go through the equations in detail.
I would recommend this book to anyone with a mildly technical background (say, a few years of university-level science, engineering, or math under their belt) interested in learning about network theory.