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Nexus
 
 

Nexus [Paperback]

Mark Buchanan
4.4 out of 5 stars  See all reviews (22 customer reviews)
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From Library Journal

Will a network science emerge that helps us understand a variety of complex organizational systems by describing the puzzles of human behavior and connections in mathematical terms? So argues Buchanan, former editor of Nature and New Scientist. Buchanan, who holds a Ph.D. in physics, delivers a good introduction to theoretical physics and the "small worlds" theory of networks. He sees biology, computer science, physics, and sociology as intimately connected. Buchanan illustrates social and physical networks with examples ranging from the infamous "six degrees of separation" theories, to the spread of the AIDS virus, to the mapping of the nervous system of the nematode worm. Are the similarities among these networks merely a coincidence or the result of some underlying physics? Only further research will tell, but in the meantime this book is a good primer to basic network concepts and contains references to key journal articles and studies for further reading. The subject will be of particular interest to mathematicians, physicists, and computer scientists and of general interest to those in most other disciplines. Recommended for academic and larger public libraries. Colleen Cuddy, Ehrman Medical Lib., NYU Sch. of Medicine
Copyright 2002 Cahners Business Information, Inc. --This text refers to an out of print or unavailable edition of this title.

From Booklist

Coincidence is the current focus of modish mathematical investigation. Kicked off, according to Buchanan, by a 1998 paper published in Nature, research on the nature of coincidence posits that deep-seated principles order huge, seemingly inchoate assemblies of objects. According to these conjectured principles, any member of a gigantic assembly of similar members (say of six billion human beings) can connect with any other member in astonishingly few steps. The idea seems ubiquitous, cropping up in food chains, the cell, neural networks, disease propagation, or electrical power grids--all arenas explored by Buchanan. This connection of objects in a set, dubbed "small worlds," comes in two "flavors": egalitarian networks and aristocratic networks, an example of the latter being the Internet. These are very interesting concepts, but before diving in, readers will want to know what they might get from Buchanan's presentation of various mathematicians' papers. Intimating that a small-worlds perspective might reveal the workings of economics as well as biology and ecology, Buchanan points up the relevance of his investigation. Gilbert Taylor
Copyright © American Library Association. All rights reserved --This text refers to an out of print or unavailable edition of this title.

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FORTY- ONE YEARS AGO, at the height of the Cold War, the philosopher Karl Popper published a short anti-Marxist volume entitled The Poverty of Historicisrn. Read the first page
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Customer Reviews

22 Reviews
5 star:
 (14)
4 star:
 (5)
3 star:
 (2)
2 star:    (0)
1 star:
 (1)
 
 
 
 
 
Average Customer Review
4.4 out of 5 stars (22 customer reviews)
 
 
 
 
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5.0 out of 5 stars Good introduction to a broad subject, July 4 2004
By 
William Rockwell (Chatsworth, CA United States) - See all my reviews
(REAL NAME)   
This review is from: Nexus (Hardcover)
The author makes a strong case that many diverse phenomena can be modelled in very similar ways. This book can be summarized as a very brief introduction to network models, followed by numerous examples from the real world.

The level of mathematical sophistication needed to comprehend the matterial is minimal. I do not believe there are any equations in the entire book. There are many easily understood graphs and a few percentages.

The basic concept of the networks is very easy to explain and to understand. The applications are the interesting part. Thoughout the pages are clear and interesting examples that make you want to turn the page to see what is coming next. In my case I often found myself thinking how I would have approached the problem and more importantly what problems could this have been applied to. Any book that can do that is a good one in my book!

Like many good books, this one leaves more questions unanswered than it answers. The subject area is a generic one that allows it's self to be applied in many many different fields. The question becomes not is this model of the world valid but rather how can it be applied.

This was a quick read, certain to change my views on how the world works.

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5.0 out of 5 stars It's a small world after all., May 27 2004
By 
Mike Ryan (San Francisco) - See all my reviews
This review is from: Nexus (Hardcover)
I just finished reading Nexus right after I finished Steven Johnson's book, Emergence. Both are great, quick reads. The ideas are fascinating and build upon chaos theory that James Gleick gives a history of in Chaos, which is the last book I read that addressed topics such as complexity. It's a great thrill to receive journalistic reports on what has happened in the small-worlds theory and gaining a cursory understanding of its current and future applications. I also just started reading Harold Morowitz's The Emergence of Everything, which is interesting in its subject matter while the writing is much more austere than in Emergence and Nexus. I look forward to reading everything I can on the small-worlds, complexity theory-type popular science books.
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5.0 out of 5 stars Networks of sex partners and the Net-Are they really related, Dec 9 2003
This review is from: Nexus (Hardcover)
The surprising answer is yes. I picked this book up after reading Steven Strogatz's Sync which mentions a great deal about the science of networks. Buchanan explains how networks exist everywhere - the net, the web, the power grid, our circle of friends, our sex partners - and that they are in fact very similar to one another.

The phrase "six degrees of separation" comes from the fact that two randomly chosen people, A and B, will on average be connected by six social links. A knows C who knows D who knows E who knows F who knows G who finally knows B. Considering the world has over 6 billion people, an average separation of 6 seems unbelievable small, but the explanation of this incredible phenomenon lies in the makeup of our social network. Our close friends know each other but our cluster of friends has weak ties to other clusters through acquaintances, people we really don't know that well - that's why when one is looking for a job, it's better to tell an acquaintance rather than a friend so that our inquiry can jump to other clusters. Our social network is essentially highly clustered but enough links exist between these clusters to allow us to jump from ourselves to any other person through just an average of six links. Buchanan shows us how this kind of network exists everywhere as mentioned above although he distinguishes between egalitarian networks where clusters are roughly the same size and aristocratic networks such as the WWW where gigantic hubs like Amazon.com exist that link to millions of websites.

One of the most interesting chapters in the book deals with sexual networks. It turns out that in the network of sex partners, certain people have a great many more links than the average person in the network. Buchanan explains how the structure of the sexual network actually accounts for the rapid spread of HIV. The virus spread quickly because the hubs in the network spread it to their numerous partners. In fact, it turns out that a significant percentage of the inital HIV cases had a sexual relationship with one particular flight attendant.

As I wrote in my review for Strogatz's Sync, we are entering an era of science where disparate fields of study are being linked because many phenomena that we used to regard as unrelated now appear to have very similar underlying bases. It is exciting to read books like Nexus because it illustrates this point. You should definitely read this book if your are interested in the science of networks and want to know how so many different phenomena are being explained by the same underlying principles.

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