by Albert-Laszlo Barabasi
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Book Description
A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate.
All are networks, and all are a part of a surprising scientific revolution. Albert-László Barabási, the nation's foremost expert in the new science of networks, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future.
Amazon.com
How is the human brain like the AIDS epidemic? Ask physicist Albert-László Barabási and he'll explain them both in terms of networks of individual nodes connected via complex but understandable relationships. Linked: The New Science of Networks is his bright, accessible guide to the fundamentals underlying neurology, epidemiology, Internet traffic, and many other fields united by complexity. Barabási's gift for concrete, nonmathematical explanations and penchant for eccentric humor would make the book thoroughly enjoyable even if the content weren't engaging. But the results of Barabási's research into the behavior of networks are deeply compelling. Not all networks are created equal, he says, and he shows how even fairly robust systems like the Internet could be crippled by taking out a few super-connected nodes, or hubs. His mathematical descriptions of this behavior are helping doctors, programmers, and security professionals design systems better suited to their needs. Linked presents the next step in complexity theory--from understanding chaos to practical applications. --Rob Lightner
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Average Customer Review:
0 of 0 people found the following review helpful:
Good way to start, 2008-03-29
This well-written, easy book is a good way to start learning about network theory. It discusses the history, some basics, and the broad application (or presence?) of networks in the world around us.
However, it skims only the surface of what the research is all about, and leaves one thirsty for more, making it a good introduction to further studying (in my case, neural networks).
The writing style is close to story-telling at times, and this got a bit on my nerves. Apart from that I really cannot say anything bad about this book, I am glad I purchased it.
0 of 0 people found the following review helpful:
 Inspiring, 2008-03-26
Reminds of "The World is Flat". It covers lots of ground really quickly. It was an interesting subject, something I've speculated a lot on my own and it was reinforcing to have a professional discuss lots of patterns (biology, physics, society, information networks) in a short-form context. It inspired me to write some graphics code based on the diagrams in the book and for that it was worth reading.
0 of 0 people found the following review helpful:
Great overview for the non-scientist, 2008-02-25
This is the first book I've ever read tackling this subject. I've had some science, but physics wasn't my strong suit. This was a great intro, and it made me want to dig deeper.
1 of 1 people found the following review helpful:
Quite good approach to understand networks., 2008-01-23
Before reading this book, I didn't know that Networks theories are with us since serveral decades. I'm almost finishing it, but I couldn't wait to write something about the book; specially to recommend you to buy it!
Barabasi work is really great. His redaction skills are as good that people without mathematics or science knowledge can understand and deeply learn Networks theory.
1 of 1 people found the following review helpful:
Fascinating Linkage, 2008-01-08
Excellent read. I'm a systems engineer by trade and although the book is by no means technical, it really drove the "connectedness" topic home for me as the author showed how objects naturally connect and grow in both real and abstract terms. If this sounds interesting- you will enjoy it too.
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