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Small Worlds: The Dynamics of Networks between Order and Randomness (Princeton Studies in Complexity)
 
 
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Small Worlds: The Dynamics of Networks between Order and Randomness (Princeton Studies in Complexity) (Paperback)

by Duncan J. Watts (Author) "The Kevin Bacon Game is a curious thing to be sure..." (more)
Key Phrases: logarithmic length scaling, caveman graph, random graph limit, Kevin Bacon, Moore Graph, Generalised Tit-for-Tat (more...)
3.1 out of 5 stars See all reviews (8 customer reviews)

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Small Worlds: The Dynamics of Networks between Order and Randomness (Princeton Studies in Complexity) + Six Degrees: The Science of a Connected Age (Open Market Edition) + Linked: How Everything Is Connected to Everything Else and What It Means
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Editorial Reviews

Review
Informally written and aimed at a wide audience, this book shows how mathematics yields new vistas on ubiquitous and seemingly familiar aspects of our world. -- Review

Review
An engaging and informative introduction.
(Science )

Playfully and clearly written. . . . [Watts] uses examples adroitly, and mixes abstract theory with real-world anecdotes with superb skill. . . . I have not enjoyed reading a book this much in a long time.
(Peter Kareiva Quarterly Review of Biology )

[Small Worlds] will be seized on by those seeking a first rough map of this fascinating new mathematical land. Those entering can expect to find some amazing connections between areas of research with apparently nothing in common, such as neurology to business studies. But then, it's a small world.
(Robert Matthews New Scientist )

Informally written and aimed at a wide audience, this book shows how mathematics yields new vistas on ubiquitous and seemingly familiar aspects of our world.
(Choice )

See all Editorial Reviews

Product Details

  • Paperback: 264 pages
  • Publisher: Princeton University Press; illustrated edition edition (November 24, 2003)
  • Language: English
  • ISBN-10: 0691117047
  • ISBN-13: 978-0691117041
  • Product Dimensions: 9.1 x 6.1 x 0.7 inches
  • Shipping Weight: 13.4 ounces (View shipping rates and policies)
  • Average Customer Review: 3.1 out of 5 stars See all reviews (8 customer reviews)
  • Amazon.com Sales Rank: #421,876 in Books (See Bestsellers in Books)

    Popular in these categories: (What's this?)

    #56 in  Books > Science > Mathematics > Applied > Graph Theory
    #56 in  Books > Professional & Technical > Professional Science > Mathematics > Applied > Graph Theory

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Customer Reviews

8 Reviews
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Average Customer Review
3.1 out of 5 stars (8 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
71 of 77 people found the following review helpful:
3.0 out of 5 stars Not as wide ranging as the reviews led me to believe, March 14, 2000
By P MARTIN (Hertfordshire, UK) - See all my reviews
This review is from: Small Worlds (Hardcover)
I read the review in New Scientist, and liked the sound of this book. When it arrived I read the blurb on the back, and was further encouraged by the fact that a Sociology Professor was encouraging students to read it. I was therefore expecting a reasonably tough but rewarding read (my math is at undergraduate level and somewhat dated, but I do make an effort). Instead with the exception of a few pieces of commentary, particularly at the beginning, I found the book virtually impenetrable because of the denseness of the mathematical modelling techniques used. I suspect this is one strictly for the experts, and those with excellent post-graduate math skills.
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16 of 18 people found the following review helpful:
2.0 out of 5 stars Not enough contents to be a good book, July 7, 2005
By Zac (USA) - See all my reviews
This review is from: Small Worlds (Hardcover)
Networks are since a couple of years object of intense research in several different disciplines. One reason therefore is certainly the outstanding article by Watts and Strogatz, Collective dynamics of small world networks, Nature, 393:440--442, 1998. Unfortunatelly, this book can not continue the high level of this article. Actually, it does not really provide much more information than the article itself. I would suggest to read the article cited above and either decide for another book or to look directly in the literature and read the origninal articles.

To summarize, this book is not terribly weak, but one can clearly sees that it swims on the current 'complex networks' wave without providing enough justification for its existence. Of course, if you do not have access to the original literature and just what to have a general overview of complex networks and what be done with them, you may consider buying this book.
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13 of 15 people found the following review helpful:
4.0 out of 5 stars Inspiring, July 23, 2001
By Farzad Etemadi "farzad3" (Aliso Viejo, Ca USA) - See all my reviews
This review is from: Small Worlds (Hardcover)
The author believes that human thought might be a small world, in the sense that one could reach any idea if he/she finds the right associations and "short-cut"s. The small-world theory is indeed one of those short cuts itself. It links many different domains and uncovers some interesting common behavior.

The theory is developed in a scientific manner with extensive numerical support. Rich literature reviews and many open questions make this book a good research reference. Complex observations are generally followed by qualitative explanations. However, some of the simpler derivations are not fully clear. I believe that adding a few lines here and there can turn this book into a textbook.

The book spans many different areas of science and a deep understanding of the related results may require some background. However, each chapter ends with a brief summary, allowing the reader to move forward if he/she finds the chapter difficult. In summary, as the author puts it, the book is simply the "end of the beginning" in an exciting new field.

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Most Recent Customer Reviews

2.0 out of 5 stars Hard
This book is very hard for non-numerate individuals (like myself, a law student). I picked it up after reading Six Degrees: The Science of a Connected Age (Open Market Edition),... Read more
Published 11 months ago by Luigi Russi

1.0 out of 5 stars Soft Science Only
I was hoping for some mathematics and even a review of mathematics to date on this subject but this book is all soft science and psycho-babble. Read more
Published 15 months ago by Scott Guthery

4.0 out of 5 stars All the details you need to know to understand Watts' and Strogatz' famous article
The book basically gives all the details needed to understand Watts and Strogatz famous Nature article 'Collective Dynamics of Complex Networks' in 1998. Read more
Published on March 11, 2007 by Netzwerkerin

4.0 out of 5 stars Good, but some typos
Mathematical level: Moderate; there's no calculus, and little high level math, but the book is quite mathematical in tone, and some of the arguments may be difficult to follow... Read more
Published on June 1, 2005 by Peter Flom

5.0 out of 5 stars Great scientific synthesis
The book takes a systematic look at the 'small world' graphs. These natural graphs have been discovered by graph theoretist as erly as 60's, but were not properly understood. Read more
Published on July 11, 2000 by Alex Iskold

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