Name: Six Degrees
ISBN: 9780393325423

Six Degrees

An architect of network theory summarizes his team's endeavor to create a blueprint of the world's networks, citing the scientific elements of the Internet, economies, terrorist organizations, and other knowledge-based groups.

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mindcrimeOct 2015

I'm sure there are many, but a few that jump to mind, in no particular order, and spanning both fiction and non-fiction:

The Selfish Gene - Dawkins

A New Kind of Science - Wolfram

The Singularity is Near - Kurzweil

Gödel, Escher, Bach - Hofstadter

Fluid Concepts and Creative Analogies - Hofstadter

Atlas Shrugged - Rand

The Fountainhead - Rand

Nineteen Eighty-Four - Orwell

The Trouble With Physics - Lee Smolin

Time Reborn - Lee Smolin

Ambient Findability - Peter Morville

Emergence: The Connected Lives of Ants, Brains, Cities, and Software - Steven Johnson

Six Degrees: The Science of a Connected Age - Duncan Watts

Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life - Albert-laszlo Barabasi

Artificial Life - Steven Levy

The Four Steps To The Epiphany - Steve Blank

The World is Flat - Thomas Friedman

not a book, but the various writings of Douglas Engelbart - http://www.dougengelbart.org/library/library.html

Glasshouse - Charles Stross

Permutation City - Greg Egan

Neuromancer - William Gibson

The Shockwave Rider - John Brunner

The Society of Mind - Marvin Minsky

The Origin of Wealth: The Radical Remaking of Economics and What it Means for Business and Society - Eric Beinhocker

The Black Swan - Nassim Nicholas Taleb

Fooled By Randomness - Nassim Nicholas Taleb

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mindcrimeAug 2012

There's also stuff under "Network theory"[1] at Wikipedia. I feel like those two articles should probably be merged, but it hasn't happened yet, and I haven't had time to take a stab at it. But anyway, both articles contain some useful info.

I also recommend these few books as a good starting point:

Network Science: Theory and Applications[2]

Linked: How Everything Is Connected to Everything Else and What It Means[3]

Six Degrees: The Science of a Connected Age[4]

The Wisdom of Crowds[5]

Nexus: Small Worlds and the Groundbreaking Science of Networks[6]

Diffusion of Innovations[7]

Of course - being that Network Science is a multidisciplinary field, that touches a lot of other areas - it can be hard to get a handle on what to study. But those few books - between them - cover a lot of the basics and would give somebody who's interested in this stuff enough background to figure out where to start digging deeper.

For a little bit more on the technical side, a couple of good resources at:

Introductory Graph Theory[8]

Introduction to Graph Theory[9]

Algorithms in Java: Part 5 - Graph Algorithms[10]

[1]: http://en.wikipedia.org/wiki/Network_theory

[2]: http://www.amazon.com/Network-Science-Applications-Ted-Lewis...

[3]: http://www.amazon.com/Linked-Everything-Connected-Else-Means...

[4]: http://www.amazon.com/Six-Degrees-Science-Connected-Edition/...

[5]: http://www.amazon.com/The-Wisdom-Crowds-James-Surowiecki/dp/...

[6]: http://www.amazon.com/Nexus-Worlds-Groundbreaking-Science-Ne...

[7]: http://www.amazon.com/Diffusion-Innovations-5th-Everett-Roge...

[8]: http://www.amazon.com/Introductory-Graph-Theory-Gary-Chartra...

[9]: http://www.amazon.com/Introduction-Graph-Theory-Dover-Mathem...

[10]: http://www.amazon.com/Algorithms-Java-Part-Graph-Pt-5/dp/020...

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brittaDec 2010

Duncan Watts (http://www.amazon.com/Six-Degrees-Science-Connected-Age/dp/0...) wrote about this kind of thing in a clear and interesting way.

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mattcwilsonApr 2022

I think you’re drawing the exact wrong conclusion from the article? Increased access to choice amplifies the effect of the power law.

From the article:

> Now, thanks to a series of breakthroughs in network theory by researchers like Albert-Laszlo Barabasi, Duncan Watts, and Bernardo Huberman among others, breakthroughs being described in books like Linked, Six Degrees, and The Laws of the Web, we know that power law distributions tend to arise in social systems where many people express their preferences among many options. We also know that as the number of options rise, the curve becomes more extreme. This is a counter-intuitive finding - most of us would expect a rising number of choices to flatten the curve, but in fact, increasing the size of the system increases the gap between the #1 spot and the median spot.

Unless your real tech equates to censorship or control or something, I am not sure how it would help reduce power law effects?

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