Linked

The New Science of Networks

De: Albert-Laszlo Barabasi

Narrado por: Henry Leyva

From a cocktail party to a terrorist cell, from an ancient bacteria to an international conglomerate - all are networks, and all are part of a surprising scientific revolution. A maverick group of scientists is discovering that all networks have a deep underlying order and operate according to simple but powerful rules. This knowledge promises to shed light on the spread of fads and viruses, the robustness of ecosystems, the vulnerability of economies - even the future of democracy.

Now, for the first time, a scientist whose own work has transformed the study of "links and nodes" takes us inside the unfolding network revolution. Albert-Laszlo Barabasi traces the fascinating history of connected systems, beginning with mathematician Leonhard Euler's first forays into graph theory in the late 1700s and culminating in biologists' development of cancer drugs based on a new understanding of cellular networks.

Combining narrative flare with sparkling insights, Barabasi introduces us to the myriad modern-day "cartographers" mapping networks in a range of scientific disciplines. Aided by powerful computers, they are proving that social networks, corporations, and cells are more similar than they are different. Their discoveries provide an important new perspective on the interconnected world around us.

Linked reveals how Google came to be the Internet's most popular search engine, how Vernon Jordan's social network affects the entire American economy, what it would take to bring down a terrorist organization like al Qaeda, and why an obscure finding of Einstein's could change the way we look at the networks in our own lives. Understanding the structure and behavior of networks will forever alter our world, allowing us to design the "perfect" business or stop a disease outbreak before it goes global.

Engaging and authoritative, Linked provides an exciting preview of the next century in science.

Also available in print from Perseus Publishing.

©2002 Albert-Laszlo Barabasi
(P)2002 Random House, Inc.

Reseñas de la Crítica

"A sweeping look at a new and exciting science." (Donald Kennedy, Editor-in-Chief, Science Magazine)

"Captivating.... Linked is a playful, even exuberant romp through an exciting new field." (Time Out New York)

Very useful summary of the science of networks

I am now on my 3rd time through the audiobook, more and more ideas come to mind each time. Both the writing and the narrating are done extremely well for anyone wanting to get their head around this heady topic. The author gives a good variety of examples to drive home the ubiquity of the math behind networks of all kinds.

Interesting perspective that keeps coming back.

It's been over a year since I listened. While it was a most interesting listen, I was non-committal about the conclusions. But over the past year the book's ideas keep coming back to me. As I watch the way things unfold in technology, economics, politics and more, I am often reminded of the book and must conceed to the truth of its theories. Witness for example the evolution of ebay in the two years since Linked was published...true to form indeed.

Not just a

I read this based on a colleague's recommendation, thinking I would spend most of my time thinking about networks in the sense of the "Internet." True, the internet is a prominent feature of the book, but the books real genius in its ability to see connectedness in economies, biology, social circles, and more.

Though written for a lay audience, parts of the book may get a little technical for some people's taste. But it is certainly not out of reach for those with at least some techno-tolerance.

The reconstruction of complex systems.

Reductionism is at the heart of the scientific process, but in the end, we must be able to reconstruct a complex system from its basic components in order to understand its emergent behaviors. Such behaviors frequently go unexplained. The realization that complex systems that appear to be chaotic and random actually follow quite simple laws that is mathematically quantifiable cuts across a multitude of disciplines. This book is not just about the internet, although it is certainly discussed. It is more about a possible paradigm for explaining how and why complex systems demonstrate a self-organizing capability. Although it can be quite dry listening, this book presents the listener with an insight into what the next century of science has to offer.

Slow start, strong finish

This is a thorough discussion of network theory. The first part of the book goes into great, and sometimes tedious, detail. If you have the patience to wait for the cake to bake, however, the frosting is quite tasty. The second half of the book is about applications and real-world examples of every sort of network you might imagine and several you probably won't.

Excellent summarization of network theory

As a computer scientist I was a bit skeptical of this book from the abstract. However, I thoroughly enjoyed both the topics the author chose to cover as well as the means with which he covered them. Highly recommended to anyone who has an interest in network theory but who is not yet well versed.

Net results

Very well done. Ignoring harware and web, networking is empowering many of us in ways we probably can't yet understand. A sequel looking at deeper affects and effects would be interesting. Wish we had more collaborative authors to present several facets of similar material.

three times too long

At the end of a long chapter on phase transitions in physics, the author helpfully notes that nothing in that chapter is actually relevant to network science, ostensibly the topic of the book. 'Nuff said.

Great insight

This is a great book that provides the kind of knowledge that lasts a lifetime. It spans a range of research from digital networks to biology to Einstein theories. A "must read" (or "must listen") for all intelligent people.

Network theory for beginners

This was, in retrospect, critical for me to listen to. It provides a framework for understanding complex natural systems.
Network theory has seen a boom recently and this book by one of the founders of modern day 'scale free network topology' theory lays it out in plain english (except for the name, I guess). Beginning with Euler's theorems he follows through his own research and that of others to construct a picture of how network architecture arises, what factors affect it, and it's strengths and vulnerabilities. The theory is supported with examples of real networks (businesses, hollywood stars, the brain, the internet, and the spread on AIDS).
The theories also make sense, there's a real feeling of 'ah-haa' in every chapter as layers of complexity are added on. This seminal work describes the basis of a theroy that will be the starting point for a deeper understanding of the world around us.