Linked
The New Science of Networks
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Narrated by:
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Henry Leyva
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Written by:
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Albert-Laszlo Barabasi
About this listen
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.
Critic Reviews
"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)
What listeners say about Linked
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- Amazon Customer
- 27-10-20
Worth the listen
This book shows how network is useful-just as statistical parameters such as mean, standard deviation are useful, network parameters such as clustering coefficient can also be useful. The author compares three network model and then shows that several phenomenon can be modelled using network. I did not understand much and did not enjoy the biological applications of the network which is at the end. A basic biology knowledge would have helped.
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