Linked cover art

Linked

The New Science of Networks

Preview
Free with 30-day trial
Prime logo New to Audible Prime Member exclusive:
2 credits with free trial
1 credit a month to use on any title to download and keep
Listen to anything from the Plus Catalogue—thousands of Audible Originals, podcasts and audiobooks
Download titles to your library and listen offline
₹199 per month after 30-day trial. Cancel anytime.

Linked

Written by: Albert-Laszlo Barabasi
Narrated by: Henry Levya
Free with 30-day trial

₹199 per month after 30-day trial. Cancel anytime.

Buy Now for ₹752.00

Buy Now for ₹752.00

About this listen

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 and author of Bursts, 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 and the Erdos–Rényi model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts of what would eventually be called the Barabási–Albert model.Executive Producer: Karen DiMattia
Jacket design by Alex Camlin
©2002 Albert-Laszlo Barabasi
(P)2002 Random House, Inc.
Decision-Making & Problem Solving Personal Success Physics Science

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

All stars
Most relevant
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.

Worth the listen

Something went wrong. Please try again in a few minutes.